{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "cb7RLf9gpEoN" }, "source": [ "# Sparse Embedding Retrieval with Qdrant and FastEmbed\n", "\n", "\n", "In this notebook, we will see how to use Sparse Embedding Retrieval techniques (such as SPLADE) in Haystack.\n", "\n", "We will use the Qdrant Document Store and FastEmbed Sparse Embedders." ] }, { "cell_type": "markdown", "metadata": { "id": "I2ATFcgVpTWc" }, "source": [ "## Why SPLADE?\n", "\n", "- Sparse Keyword-Based Retrieval (based on BM25 algorithm or similar ones) is simple and fast, requires few resources but relies on lexical matching and struggles to capture semantic meaning.\n", "- Dense Embedding-Based Retrieval takes semantics into account but requires considerable computational resources, usually does not work well on novel domains, and does not consider precise wording.\n", "\n", "While good results can be achieved by combining the two approaches ([tutorial](https://haystack.deepset.ai/tutorials/33_hybrid_retrieval)), SPLADE (Sparse Lexical and Expansion Model for Information Retrieval) introduces a new method that encapsulates the positive aspects of both techniques.\n", "In particular, SPLADE uses Language Models like BERT to weigh the relevance of different terms in the query and perform automatic term expansions, reducing the vocabulary mismatch problem (queries and relevant documents often lack term overlap).\n", "\n", "Main features:\n", "- Better than dense embedding Retrievers on precise keyword matching\n", "- Better than BM25 on semantic matching\n", "- Slower than BM25\n", "- Still experimental compared to both BM25 and dense embeddings: few models; supported by few Document Stores\n", "\n", "**Resources**\n", "- [SPLADE for Sparse Vector Search Explained - great guide by Pinecone](https://www.pinecone.io/learn/splade/)\n", "- [SPLADE GitHub repository, with links to all related papers](https://github.com/naver/splade)" ] }, { "cell_type": "markdown", "metadata": { "id": "LQ-L4Gf2Hfci" }, "source": [ "## Install dependencies" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "tnSq1XK_ovZV", "outputId": "3a598589-54b1-45b3-e0b1-30157b545962" }, "outputs": [], "source": [ "!pip install -U fastembed-haystack qdrant-haystack wikipedia transformers" ] }, { "cell_type": "markdown", "metadata": { "id": "9RHRrrQh3wqL" }, "source": [ "## Sparse Embedding Retrieval" ] }, { "cell_type": "markdown", "metadata": { "id": "XxKy73D1wPhH" }, "source": [ "### Indexing" ] }, { "cell_type": "markdown", "metadata": { "id": "8pw_uDcZwdDb" }, "source": [ "#### Create a Qdrant Document Store" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "id": "eAKP9icf1Inj" }, "outputs": [], "source": [ "from haystack_integrations.document_stores.qdrant import QdrantDocumentStore\n", "\n", "document_store = QdrantDocumentStore(\n", " \":memory:\",\n", " recreate_index=True,\n", " return_embedding=True,\n", " use_sparse_embeddings=True # set this parameter to True, otherwise the collection schema won't allow to store sparse vectors\n", ")" ] }, { "cell_type": "markdown", "metadata": { "id": "x8Bpy1ri_Ipx" }, "source": [ "#### Download Wikipedia pages and create raw documents\n", "\n", "We download a few Wikipedia pages about animals and create Haystack documents from them." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "id": "7FpCSSnUzuuP" }, "outputs": [], "source": [ "nice_animals=[\"Capybara\", \"Dolphin\"]\n", "\n", "import wikipedia\n", "from haystack.dataclasses import Document\n", "\n", "raw_docs=[]\n", "for title in nice_animals:\n", " page = wikipedia.page(title=title, auto_suggest=False)\n", " doc = Document(content=page.content, meta={\"title\": page.title, \"url\":page.url})\n", " raw_docs.append(doc)" ] }, { "cell_type": "markdown", "metadata": { "id": "8HUCPkx4wip_" }, "source": [ "#### Initialize a `FastembedSparseDocumentEmbedder`\n", "\n", "The `FastembedSparseDocumentEmbedder` enrichs a list of documents with their sparse embeddings.\n", "\n", "We are using `prithvida/Splade_PP_en_v1`, a good sparse embedding model with a permissive license.\n", "\n", "We also want to embed the title of the document, because it contains relevant information.\n", "\n", "For more customization options, refer to the [docs](https://docs.haystack.deepset.ai/docs/fastembedsparsedocumentembedder)." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 392, "referenced_widgets": [ "1b4bdb1bd23949908efbf109525018fd", "81a6fe45f1374fd29d5280e746789a14", "323ccb59362e4fe99e286e5f3fc0a6c3", "75eaf93e67ac4951818c4f7dfe341421", "ae2c9979522e4a638cded77528489ff3", "86600e715ee44d3b95b2d767782cea30", "b86a1863cafb417890e6818d873543c5", "f7b9a973edba4db2b203d3191ebf8fc6", "56986bc9f18d4d42881f77fe89de5778", "b6fc84308d984e6fb6e7030acfde0d4e", "ec4bb22494fe4e39ae5714bac4135e6a", "b141493b405e4682a68f456ec5813abc", "86eb3dfef8d84d5b8d2c3fedd3112d83", "d70c17d3371a4b0699d7dc34a980ef75", "682bf90e6b0f4f68a55a5b6048d54aee", "b94b4d134c574958b33812d92f1d41a4", "3e0c1ae66c2a4a1a99fc7bf9363ff73f", "ce8f7b768f97485f8367c956fbd65173", "43c5f020bb6a45a99d19f9b17d968ae4", "765143344035460f8d631ec7bd21adeb", "19bc9b07c9c1457d9cf934bf82ed9d65", "35a32219a4784c82a48bf02d346db4de", "11782336c4e94182aeb9c5f2e2e70d69", "5b1bf7efc98d46109c8879b684922e1d", "c88f1086c5f248ab80e5606652580626", "ba1ef6aa9ac942df91734297ddf3940f", "773a53d2521c4f18b397eaef5c281dcd", "a101b1c91dd64a7aa9ecc3c78ea6235d", "28c49ffa85074e59a308483ecb9473d3", "89f4ac548c0e4dc0a7189b9d7f27d5e2", "3ed76f5a97e24e3796c6de9d458e3ec3", "439701a2333646c6bf949f9a4aa27c78", "00305528c1bc4d6e9db036e364d23408", "22dcd08a850c4b2aa270778cfd3b64c7", "38e2425cab8749039889470aff604701", "a2495804eb894682b33d0f24165c580f", "76c239f210994391b5f54200323b7c31", "c7d5ccfff8f2497d97603d2696c50522", "200149ec37044265a299ef2da5ab65b2", "788f43b5ace34d0eab538d1816d97ca5", "66d0aec655084f7fb378a3cce6fe584c", "ebbf1cdf26eb448292e991dc632568a1", "13604c3fe3f3446dbd677f2f8eaf2474", "09e8145fbeda459784c8af0bb48409a9", "9d891074c3944db2a70923151a794563", "9e524b2f3c2a4ffca1467a5eb3ebf770", "a5dc73c41fcc4a6faf0a9a9eae26a43b", "9b67cc7af1db4221b3c22d27fa40bfd0", "5d21c95bf18442deb8a990393e623788", "7c09487de2404ee0804414e5203674ca", "1cb437bcb01a49198bf835e17a395fa5", "2c277912b88c458cb6f40a00b886022a", "1c89cb42c64f4c74ac70b1b753d5c9ad", "57ea17f752cf4525b03b6f1c3b3a3678", "b2088e7889514298ad2d3dac32ec9c16", "7ea52519961e4c5b86b481a9dc6ab7db", "3dd916887905449faf237812991abdae", "a78d69cdd409456282dbb544cbebdf31", "f10706c3f63743459666597cc4b6377c", "8958fe583a8e466e8b3e5eeeb10c1fd3", "e5aa0139e9e84eb39278e58dc1852401", "0bf9ac19017a434180720b411562ab54", "97cc837045324362b13c1581e3b93b19", "bb2291227e584a16b7df59b838cd7d50", "d0b43e57255e422a9e358c89f8423a40", "6d05b9cff6dd447ab77fb20132961366", "002cb461076e44849fa2fa7c68a95120", "8b4ac635bd7d4244bd80327c58595608", "b79d5fca2b4f4faf85a32c0c750755c1", "afd29847d2c24f4ba0f10ff0dd487b43", "ca98c4bb8f8848fdb519755b69031d45", "36c0dd05d87343fe8640253b16838f91", "a453a5b495ac4a48bf03c347851c2855", "7800a20126b443a89c32cfa083e26208", "cecf5eb6eb2f4971931d5ddf49562f65", "7d7723b32a6c44f8bcc832bcf100f5c7", "a18935d1c3444d93b36318d1761e5aae", "f050318d2e77430e9e053f24adbbc22b", "7171a05cd6764d369e8ef55038fe4656", "ebae8f7efc1745a6a1ba6256b9a2ed68", "8c3986bfe5404f5a96969605a85ddeef", "4aded9a6984c4fdbbe7224df0356d209", "131edc6c762c42828d7b2432ac9f0b29", "0386fcef753348f290d569c598ff9d7c", "df0a796cf0854c588892f6c14cafe586", "6fa5f2124cff45758218e8d9b8e095b2", "d83233fa89b543aca88fe2bdf874fb54", "56e7a995aa9b494d94a365d308f0bb54", "facd8510a23f4183bc468f67f3721250", "ff6d763771be435f81ca2e5ce7a6f98b", "8d29523ac3694d688bdf4ca65e411a3b", "9b9cd2ef16334159b995f1e9a0a8f999", "1d5c1c93415245eeb7beb4a14ce464f5", "96a0ba675c234ee0895681bff0ad9658", "757e5abb6a49467eb561b051d348df1c", "b3cc07ad5768440eb5710602662cf586", "66b843ad7e6947bc81ef4aa7d08c5be8", "df768afe2d724b9f9c51cb14d7710a47", "3a9740c938704010996f9eeed6722522", "68767985a3a740c78c7524a99b4bc036", "95f78d181d6146b5856d6042586608f2", "ce742cc6eb4340fabb3dedfd9df8d751", "0bf64144d02b4129a717ea4659092ec6", "248e5ce4968e46d68c9a38682d94e21c", "14e1345546314cb280cecae36d301537", "c7a4d37e49b54c61b6fd350dc0b1d82c", "6bb1055e6d0c459f864744d9dab7bcf7", "4bc3dfab4b4c4b3690c78d5b6b70515a", "fc71c8db7cd54a11bb258be9bde52ec9", "f9e5714b777e49639be0288df4576606" ] }, "id": "RrUAOQmawv70", "outputId": "6031eae5-f088-4fab-b81d-903441bcb5f8" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "1b4bdb1bd23949908efbf109525018fd", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Fetching 9 files: 0%| | 0/9 [00:00\n", "🚅 Components\n", " - cleaner: DocumentCleaner\n", " - splitter: DocumentSplitter\n", " - sparse_doc_embedder: FastembedSparseDocumentEmbedder\n", " - writer: DocumentWriter\n", "🛤️ Connections\n", " - cleaner.documents -> splitter.documents (List[Document])\n", " - splitter.documents -> sparse_doc_embedder.documents (List[Document])\n", " - sparse_doc_embedder.documents -> writer.documents (List[Document])" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "indexing = Pipeline()\n", "indexing.add_component(\"cleaner\", DocumentCleaner())\n", "indexing.add_component(\"splitter\", DocumentSplitter(split_by='sentence', split_length=4))\n", "indexing.add_component(\"sparse_doc_embedder\", sparse_doc_embedder)\n", "indexing.add_component(\"writer\", DocumentWriter(document_store=document_store, policy=DuplicatePolicy.OVERWRITE))\n", "\n", "indexing.connect(\"cleaner\", \"splitter\")\n", "indexing.connect(\"splitter\", \"sparse_doc_embedder\")\n", "indexing.connect(\"sparse_doc_embedder\", \"writer\")" ] }, { "cell_type": "markdown", "metadata": { "id": "hmLUyhjZyfWv" }, "source": [ "#### Let's index our documents!\n", "⚠️ If you are running this notebook on Google Colab, please note that Google Colab only provides 2 CPU cores, so the sparse embedding generation could be not as fast as it can be on a standard machine." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "dyBwOzM-9Tqm", "outputId": "62e8e629-1f87-4718-f290-bef24ba75de3" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Calculating sparse embeddings: 100%|██████████| 152/152 [02:29<00:00, 1.02it/s]\n", "200it [00:00, 2418.48it/s] \n" ] }, { "data": { "text/plain": [ "{'writer': {'documents_written': 152}}" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "indexing.run({\"documents\":raw_docs})" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "HMB-AxGwyx1c", "outputId": "849ee95d-f400-44ca-bb3f-d50118f176e3" }, "outputs": [ { "data": { "text/plain": [ "152" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "document_store.count_documents()" ] }, { "cell_type": "markdown", "metadata": { "id": "AZFoiFczyvBx" }, "source": [ "### Retrieval" ] }, { "cell_type": "markdown", "metadata": { "id": "L-mUxbqn3l63" }, "source": [ "#### Retrieval pipeline\n", "\n", "Now, we create a simple retrieval Pipeline:\n", "- `FastembedSparseTextEmbedder`: transforms the query into a sparse embedding\n", "- `QdrantSparseEmbeddingRetriever`: looks for relevant documents, based on the similarity of the sparse embeddings" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "HTlEGit3_XFk", "outputId": "6ec588b7-04f9-40b7-f0af-6790a000d553" }, "outputs": [ { "data": { "text/plain": [ "\n", "🚅 Components\n", " - sparse_text_embedder: FastembedSparseTextEmbedder\n", " - sparse_retriever: QdrantSparseEmbeddingRetriever\n", "🛤️ Connections\n", " - sparse_text_embedder.sparse_embedding -> sparse_retriever.query_sparse_embedding (SparseEmbedding)" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from haystack import Pipeline\n", "from haystack_integrations.components.retrievers.qdrant import QdrantSparseEmbeddingRetriever\n", "from haystack_integrations.components.embedders.fastembed import FastembedSparseTextEmbedder\n", "\n", "sparse_text_embedder = FastembedSparseTextEmbedder(model=\"prithvida/Splade_PP_en_v1\")\n", "\n", "query_pipeline = Pipeline()\n", "query_pipeline.add_component(\"sparse_text_embedder\", sparse_text_embedder)\n", "query_pipeline.add_component(\"sparse_retriever\", QdrantSparseEmbeddingRetriever(document_store=document_store))\n", "\n", "query_pipeline.connect(\"sparse_text_embedder.sparse_embedding\", \"sparse_retriever.query_sparse_embedding\")" ] }, { "cell_type": "markdown", "metadata": { "id": "sQnk_qCW890T" }, "source": [ "#### Try the retrieval pipeline" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "NpUwlxIj6O0R", "outputId": "23e84837-c7c5-47d8-f826-6dcbe6c0d4f8" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Calculating sparse embeddings: 100%|██████████| 1/1 [00:00<00:00, 9.02it/s]\n" ] } ], "source": [ "question = \"Where do capybaras live?\"\n", "\n", "results = query_pipeline.run({\"sparse_text_embedder\": {\"text\": question}})" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "rcFsJVoqQ4zQ", "outputId": "efc84561-e2fd-4981-b61b-d597c5a7c974" 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              "id: 6a485709ae51c55b78252571c0808ef17129b32e930ea7d461c12d9afaf40672\n",
              "\n",
              "Its karyotype has 2n = 66 and FN = 102, meaning it has 66 chromosomes with a total of 102 arms. == Ecology == \n",
              "Capybaras are semiaquatic mammals found throughout all countries of South America except Chile. They live in \n",
              "densely forested areas near bodies of water, such as lakes, rivers, swamps, ponds, and marshes, as well as flooded \n",
              "savannah and along rivers in the tropical rainforest. They are superb swimmers and can hold their breath underwater\n",
              "for up to five minutes at a time.\n",
              "score: 0.5607053126371688\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: 6a485709ae51c55b78252571c0808ef17129b32e930ea7d461c12d9afaf40672\n", "\n", "Its karyotype has 2n = \u001b[1;36m66\u001b[0m and FN = \u001b[1;36m102\u001b[0m, meaning it has \u001b[1;36m66\u001b[0m chromosomes with a total of \u001b[1;36m102\u001b[0m arms. == Ecology == \n", "Capybaras are semiaquatic mammals found throughout all countries of South America except Chile. They live in \n", "densely forested areas near bodies of water, such as lakes, rivers, swamps, ponds, and marshes, as well as flooded \n", "savannah and along rivers in the tropical rainforest. They are superb swimmers and can hold their breath underwater\n", "for up to five minutes at a time.\n", "score: \u001b[1;36m0.5607053126371688\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Capybaras have adapted well to urbanization in South America. They can be found in many areas in zoos and parks, \n",
              "and may live for 12 years in captivity, more than double their wild lifespan. Capybaras are docile and usually \n",
              "allow humans to pet and hand-feed them, but physical contact is normally discouraged, as their ticks can be vectors\n",
              "to Rocky Mountain spotted fever. The European Association of Zoos and Aquaria asked Drusillas Park in Alfriston, \n",
              "Sussex, England, to keep the studbook for capybaras, to monitor captive populations in Europe.\n",
              "score: 0.5577329835824506\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: fcc9a816e7f2312988dbd20146e4a5c07d8d8b409a373c4c3986d85c26dc0d61\n", "\n", "Capybaras have adapted well to urbanization in South America. They can be found in many areas in zoos and parks, \n", "and may live for \u001b[1;36m12\u001b[0m years in captivity, more than double their wild lifespan. Capybaras are docile and usually \n", "allow humans to pet and hand-feed them, but physical contact is normally discouraged, as their ticks can be vectors\n", "to Rocky Mountain spotted fever. The European Association of Zoos and Aquaria asked Drusillas Park in Alfriston, \n", "Sussex, England, to keep the studbook for capybaras, to monitor captive populations in Europe.\n", "score: \u001b[1;36m0.5577329835824506\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "id: d70f54cc66a83b56210c801ecd49c95bae5fef4ab38989d38b26dc53449b192d\n",
              " In 2011, one specimen was spotted on the Central Coast of California. These escaped populations occur in areas \n",
              "where prehistoric capybaras inhabited; late Pleistocene capybaras inhabited Florida and Hydrochoerus \n",
              "hesperotiganites in California and Hydrochoerus gaylordi in Grenada, and feral capybaras in North America may \n",
              "actually fill the ecological niche of the Pleistocene species. === Diet and predation === Capybaras are herbivores,\n",
              "grazing mainly on grasses and aquatic plants, as well as fruit and tree bark. They are very selective feeders and \n",
              "feed on the leaves of one species and disregard other species surrounding it.\n",
              "score: 0.5567185168202262\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: d70f54cc66a83b56210c801ecd49c95bae5fef4ab38989d38b26dc53449b192d\n", " In \u001b[1;36m2011\u001b[0m, one specimen was spotted on the Central Coast of California. These escaped populations occur in areas \n", "where prehistoric capybaras inhabited; late Pleistocene capybaras inhabited Florida and Hydrochoerus \n", "hesperotiganites in California and Hydrochoerus gaylordi in Grenada, and feral capybaras in North America may \n", "actually fill the ecological niche of the Pleistocene species. === Diet and predation === Capybaras are herbivores,\n", "grazing mainly on grasses and aquatic plants, as well as fruit and tree bark. They are very selective feeders and \n", "feed on the leaves of one species and disregard other species surrounding it.\n", "score: \u001b[1;36m0.5567185168202262\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "id: a1cb26bcd9d053fc8e7a3c8b6716801b37ca37940c6f8b7865d6f6bb50b38f2f\n",
              " The capybara inhabits savannas and dense forests, and lives near bodies of water. It is a highly social species \n",
              "and can be found in groups as large as 100 individuals, but usually live in groups of 10–20 individuals. The \n",
              "capybara is hunted for its meat and hide and also for grease from its thick fatty skin. == Etymology ==\n",
              "Its common name is derived from Tupi ka'apiûara, a complex agglutination of kaá (leaf) + píi (slender) + ú (eat) + \n",
              "ara (a suffix for agent nouns), meaning \"one who eats slender leaves\", or \"grass-eater\".\n",
              "score: 0.5562936393318461\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: a1cb26bcd9d053fc8e7a3c8b6716801b37ca37940c6f8b7865d6f6bb50b38f2f\n", " The capybara inhabits savannas and dense forests, and lives near bodies of water. It is a highly social species \n", "and can be found in groups as large as \u001b[1;36m100\u001b[0m individuals, but usually live in groups of \u001b[1;36m10\u001b[0m–\u001b[1;36m20\u001b[0m individuals. The \n", "capybara is hunted for its meat and hide and also for grease from its thick fatty skin. == Etymology ==\n", "Its common name is derived from Tupi ka'apiûara, a complex agglutination of kaá \u001b[1m(\u001b[0mleaf\u001b[1m)\u001b[0m + píi \u001b[1m(\u001b[0mslender\u001b[1m)\u001b[0m + ú \u001b[1m(\u001b[0meat\u001b[1m)\u001b[0m + \n", "ara \u001b[1m(\u001b[0ma suffix for agent nouns\u001b[1m)\u001b[0m, meaning \u001b[32m\"one who eats slender leaves\"\u001b[0m, or \u001b[32m\"grass-eater\"\u001b[0m.\n", "score: \u001b[1;36m0.5562936393318461\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "id: 15755cebd1049a00c4656aaa7cf6c417966b81e482732e1c97288d58a08b53b2\n",
              "The capybara or greater capybara (Hydrochoerus hydrochaeris) is a giant cavy rodent native to South America. It is \n",
              "the largest living rodent and a member of the genus Hydrochoerus. The only other extant member is the lesser \n",
              "capybara (Hydrochoerus isthmius). Its close relatives include guinea pigs and rock cavies, and it is more distantly\n",
              "related to the agouti, the chinchilla, and the nutria.\n",
              "score: 0.5559830683084014\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: 15755cebd1049a00c4656aaa7cf6c417966b81e482732e1c97288d58a08b53b2\n", "The capybara or greater capybara \u001b[1m(\u001b[0mHydrochoerus hydrochaeris\u001b[1m)\u001b[0m is a giant cavy rodent native to South America. It is \n", "the largest living rodent and a member of the genus Hydrochoerus. The only other extant member is the lesser \n", "capybara \u001b[1m(\u001b[0mHydrochoerus isthmius\u001b[1m)\u001b[0m. Its close relatives include guinea pigs and rock cavies, and it is more distantly\n", "related to the agouti, the chinchilla, and the nutria.\n", "score: \u001b[1;36m0.5559830683084014\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "id: d8bd93eefa0c2feeb162972cd915fe29e3b13c98181a976d4751296c51547c77\n",
              " Capybara have flourished in cattle ranches. They roam in home ranges averaging 10 hectares (25 acres) in \n",
              "high-density populations.\n",
              "Many escapees from captivity can also be found in similar watery habitats around the world. Sightings are fairly \n",
              "common in Florida, although a breeding population has not yet been confirmed.\n",
              "score: 0.5550636661344844\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: d8bd93eefa0c2feeb162972cd915fe29e3b13c98181a976d4751296c51547c77\n", " Capybara have flourished in cattle ranches. They roam in home ranges averaging \u001b[1;36m10\u001b[0m hectares \u001b[1m(\u001b[0m\u001b[1;36m25\u001b[0m acres\u001b[1m)\u001b[0m in \n", "high-density populations.\n", "Many escapees from captivity can also be found in similar watery habitats around the world. Sightings are fairly \n", "common in Florida, although a breeding population has not yet been confirmed.\n", "score: \u001b[1;36m0.5550636661344844\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "id: 5429437120fdd0611ba2f14db51a28dfd894cd7221264c805dfe43de6ba95f7e\n",
              " In Japan, following the lead of Izu Shaboten Zoo in 1982, multiple establishments or zoos in Japan that raise \n",
              "capybaras have adopted the practice of having them relax in onsen during the winter. They are seen as an attraction\n",
              "by Japanese people. Capybaras became popular in Japan due to the popular cartoon character Kapibara-san.\n",
              "In August 2021, Argentine and international media reported that capybaras had been causing serious problems for \n",
              "residents of Nordelta, an affluent gated community north of Buenos Aires built atop wetland habitat.\n",
              "score: 0.5535668539880305\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: 5429437120fdd0611ba2f14db51a28dfd894cd7221264c805dfe43de6ba95f7e\n", " In Japan, following the lead of Izu Shaboten Zoo in \u001b[1;36m1982\u001b[0m, multiple establishments or zoos in Japan that raise \n", "capybaras have adopted the practice of having them relax in onsen during the winter. They are seen as an attraction\n", "by Japanese people. Capybaras became popular in Japan due to the popular cartoon character Kapibara-san.\n", "In August \u001b[1;36m2021\u001b[0m, Argentine and international media reported that capybaras had been causing serious problems for \n", "residents of Nordelta, an affluent gated community north of Buenos Aires built atop wetland habitat.\n", "score: \u001b[1;36m0.5535668539880305\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "id: 4261a2ae42f4edf8885c6e4c483356c994ad7699fd814e3b8f5da115aa5560ea\n",
              " Alloparenting has been observed in this species. Breeding peaks between April and May in Venezuela and between \n",
              "October and November in Mato Grosso, Brazil. === Activities ===\n",
              "Though quite agile on land, capybaras are equally at home in the water. They are excellent swimmers, and can remain\n",
              "completely submerged for up to five minutes, an ability they use to evade predators.\n",
              "score: 0.553533523584911\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: 4261a2ae42f4edf8885c6e4c483356c994ad7699fd814e3b8f5da115aa5560ea\n", " Alloparenting has been observed in this species. Breeding peaks between April and May in Venezuela and between \n", "October and November in Mato Grosso, Brazil. === Activities ===\n", "Though quite agile on land, capybaras are equally at home in the water. They are excellent swimmers, and can remain\n", "completely submerged for up to five minutes, an ability they use to evade predators.\n", "score: \u001b[1;36m0.553533523584911\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "id: b819073f1e3b6973dd1d22299a34a882acc348ba45257456cc85c3960fedd9ce\n",
              " The studbook includes information about all births, deaths and movements of capybaras, as well as how they are \n",
              "related.\n",
              "Capybaras are farmed for meat and skins in South America. The meat is considered unsuitable to eat in some areas, \n",
              "while in other areas it is considered an important source of protein. In parts of South America, especially in \n",
              "Venezuela, capybara meat is popular during Lent and Holy Week as the Catholic Church previously issued special \n",
              "dispensation to allow it to be eaten while other meats are generally forbidden.\n",
              "score: 0.5527757086170884\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: b819073f1e3b6973dd1d22299a34a882acc348ba45257456cc85c3960fedd9ce\n", " The studbook includes information about all births, deaths and movements of capybaras, as well as how they are \n", "related.\n", "Capybaras are farmed for meat and skins in South America. The meat is considered unsuitable to eat in some areas, \n", "while in other areas it is considered an important source of protein. In parts of South America, especially in \n", "Venezuela, capybara meat is popular during Lent and Holy Week as the Catholic Church previously issued special \n", "dispensation to allow it to be eaten while other meats are generally forbidden.\n", "score: \u001b[1;36m0.5527757086170884\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "id: a1fc3b907198e9d3e1d95d4c08f0fefae6861ce810d1b32479b50753326bdf58\n",
              " == Conservation and human interaction ==\n",
              "Capybaras are not considered a threatened species; their population is stable throughout most of their South \n",
              "American range, though in some areas hunting has reduced their numbers. Capybaras are hunted for their meat and \n",
              "pelts in some areas, and otherwise killed by humans who see their grazing as competition for livestock. In some \n",
              "areas, they are farmed, which has the effect of ensuring the wetland habitats are protected. Their survival is \n",
              "aided by their ability to breed rapidly.\n",
              "score: 0.5503703349299455\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: a1fc3b907198e9d3e1d95d4c08f0fefae6861ce810d1b32479b50753326bdf58\n", " == Conservation and human interaction ==\n", "Capybaras are not considered a threatened species; their population is stable throughout most of their South \n", "American range, though in some areas hunting has reduced their numbers. Capybaras are hunted for their meat and \n", "pelts in some areas, and otherwise killed by humans who see their grazing as competition for livestock. In some \n", "areas, they are farmed, which has the effect of ensuring the wetland habitats are protected. Their survival is \n", "aided by their ability to breed rapidly.\n", "score: \u001b[1;36m0.5503703349299455\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import rich\n", "\n", "for d in results['sparse_retriever']['documents']:\n", " rich.print(f\"\\nid: {d.id}\\n{d.content}\\nscore: {d.score}\\n---\")" ] }, { "cell_type": "markdown", "metadata": { "id": "W9d4RUpE610Y" }, "source": [ "## Understanding SPLADE vectors\n", "\n", "(Inspiration: [FastEmbed SPLADE notebook](https://qdrant.github.io/fastembed/examples/SPLADE_with_FastEmbed))\n", "\n", "We have seen that our model encodes text into a sparse vector (= a vector with many zeros).\n", "An efficient representation of sparse vectors is to save the indices and values of nonzero elements.\n", "\n", "Let's try to understand what information resides in these vectors..." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 962 }, "id": "78Jz5bqt-VHJ", "outputId": "67972d9d-6a44-4f87-de91-e0320426cd5b" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Calculating sparse embeddings: 100%|██████████| 1/1 [00:00<00:00, 10.06it/s]\n" ] }, { "data": { "text/html": [ "
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0.6497660875320435,\n", " 'origin': 0.5681754946708679,\n", " 'nest': 0.33103543519973755,\n", " 'tribe': 0.33065155148506165,\n", " 'cave': 0.30040717124938965,\n", " 'migration': 0.29275140166282654,\n", " 'move': 0.22175012528896332,\n", " 'genus': 0.18768127262592316,\n", " 'breed': 0.18527895212173462,\n", " 'forest': 0.17087453603744507,\n", " 'grow': 0.07937325537204742,\n", " 'shelter': 0.0731465145945549,\n", " 'habitats': 0.04782348498702049,\n", " 'refuge': 0.04728797823190689,\n", " 'animal': 0.03902499005198479,\n", " 'plant': 0.03717103973031044,\n", " 'region': 0.031874656677246094,\n", " 'reproduction': 0.0030497254338115454\n", "}\n", "\n" ], "text/plain": [ "\u001b[1m{\u001b[0m\n", " \u001b[32m'##bara'\u001b[0m: \u001b[1;36m2.6444451808929443\u001b[0m,\n", " \u001b[32m'cap'\u001b[0m: \u001b[1;36m2.4437994956970215\u001b[0m,\n", " \u001b[32m'live'\u001b[0m: \u001b[1;36m1.8504852056503296\u001b[0m,\n", " \u001b[32m'location'\u001b[0m: 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\u001b[1;36m0.18527895212173462\u001b[0m,\n", " \u001b[32m'forest'\u001b[0m: \u001b[1;36m0.17087453603744507\u001b[0m,\n", " \u001b[32m'grow'\u001b[0m: \u001b[1;36m0.07937325537204742\u001b[0m,\n", " \u001b[32m'shelter'\u001b[0m: \u001b[1;36m0.0731465145945549\u001b[0m,\n", " \u001b[32m'habitats'\u001b[0m: \u001b[1;36m0.04782348498702049\u001b[0m,\n", " \u001b[32m'refuge'\u001b[0m: \u001b[1;36m0.04728797823190689\u001b[0m,\n", " \u001b[32m'animal'\u001b[0m: \u001b[1;36m0.03902499005198479\u001b[0m,\n", " \u001b[32m'plant'\u001b[0m: \u001b[1;36m0.03717103973031044\u001b[0m,\n", " \u001b[32m'region'\u001b[0m: \u001b[1;36m0.031874656677246094\u001b[0m,\n", " \u001b[32m'reproduction'\u001b[0m: \u001b[1;36m0.0030497254338115454\u001b[0m\n", "\u001b[1m}\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def get_tokens_and_weights(sparse_embedding, tokenizer):\n", " token_weight_dict = {}\n", " for i in range(len(sparse_embedding.indices)):\n", " token = tokenizer.decode([sparse_embedding.indices[i]])\n", " weight = sparse_embedding.values[i]\n", " token_weight_dict[token] = weight\n", "\n", " # Sort the dictionary by weights\n", " token_weight_dict = dict(sorted(token_weight_dict.items(), key=lambda item: item[1], reverse=True))\n", " return token_weight_dict\n", "\n", "\n", "rich.print(get_tokens_and_weights(sparse_embedding, tokenizer))" ] }, { "cell_type": "markdown", "metadata": { "id": "A475Jhnt_DIc" }, "source": [ "Very nice! 🦫\n", "\n", "- tokens are ordered by relevance\n", "- the query is expanded with relevant tokens/terms: \"location\", \"habitat\"..." ] }, { "cell_type": "markdown", "metadata": { "id": "kHQQg4g64nDS" }, "source": [ "## Hybrid Retrieval\n", "\n", "Ideally, techniques like SPLADE are intended to replace other approaches (BM25 and Dense Embedding Retrieval) and their combinations.\n", "\n", "However, sometimes it may make sense to combine, for example, Dense Embedding Retrieval and Sparse Embedding Retrieval. You can find some positive examples in the appendix of this paper ([An Analysis of Fusion Functions for Hybrid Retrieval](https://arxiv.org/abs/2210.11934)).\n", "Make sure this works for your use case and conduct an evaluation.\n", "\n", "---\n", "\n", "Below we show how to create such an application in Haystack.\n", "\n", "In the example, we use the Qdrant Hybrid Retriever: it compares dense and sparse query and document embeddings and retrieves the most relevant documents , merging the scores with Reciprocal Rank Fusion.\n", "\n", "If you want to customize the behavior more, see Hybrid Retrieval Pipelines ([tutorial](https://haystack.deepset.ai/tutorials/33_hybrid_retrieval)).\n", "\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "id": "l11oDHiAPZl0" }, "outputs": [], "source": [ "from haystack_integrations.document_stores.qdrant import QdrantDocumentStore\n", "from haystack.components.preprocessors import DocumentCleaner, DocumentSplitter\n", "from haystack.components.writers import DocumentWriter\n", "from haystack_integrations.components.embedders.fastembed import FastembedSparseDocumentEmbedder, FastembedDocumentEmbedder\n", "from haystack.document_stores.types import DuplicatePolicy\n", "from haystack import Pipeline" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "id": "nrg6BqeEb0_i" }, "outputs": [], "source": [ "document_store = QdrantDocumentStore(\n", " \":memory:\",\n", " recreate_index=True,\n", " return_embedding=True,\n", " use_sparse_embeddings=True,\n", " embedding_dim = 384\n", ")" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "hreIozxSa33a", "outputId": "529ab33a-8b0b-4bc5-c0c2-1e472bc997ca" }, "outputs": [ { "data": { "text/plain": [ "\n", "🚅 Components\n", " - cleaner: DocumentCleaner\n", " - splitter: DocumentSplitter\n", " - sparse_doc_embedder: FastembedSparseDocumentEmbedder\n", " - dense_doc_embedder: FastembedDocumentEmbedder\n", " - writer: DocumentWriter\n", "🛤️ Connections\n", " - cleaner.documents -> splitter.documents (List[Document])\n", " - splitter.documents -> sparse_doc_embedder.documents (List[Document])\n", " - sparse_doc_embedder.documents -> dense_doc_embedder.documents (List[Document])\n", " - dense_doc_embedder.documents -> writer.documents (List[Document])" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "hybrid_indexing = Pipeline()\n", "hybrid_indexing.add_component(\"cleaner\", DocumentCleaner())\n", "hybrid_indexing.add_component(\"splitter\", DocumentSplitter(split_by='sentence', split_length=4))\n", "hybrid_indexing.add_component(\"sparse_doc_embedder\", FastembedSparseDocumentEmbedder(model=\"prithvida/Splade_PP_en_v1\", meta_fields_to_embed=[\"title\"]))\n", "hybrid_indexing.add_component(\"dense_doc_embedder\", FastembedDocumentEmbedder(model=\"BAAI/bge-small-en-v1.5\", meta_fields_to_embed=[\"title\"]))\n", "hybrid_indexing.add_component(\"writer\", DocumentWriter(document_store=document_store, policy=DuplicatePolicy.OVERWRITE))\n", "\n", "hybrid_indexing.connect(\"cleaner\", \"splitter\")\n", "hybrid_indexing.connect(\"splitter\", \"sparse_doc_embedder\")\n", "hybrid_indexing.connect(\"sparse_doc_embedder\", \"dense_doc_embedder\")\n", "hybrid_indexing.connect(\"dense_doc_embedder\", \"writer\")" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 406, "referenced_widgets": [ "59fbbba504be4f39b569c93fc8bb8f58", "17687fa300bb4efe9e97340ccf1ca03d", "6a96b7342ac3473b86b152478d537d45", "846056c598fa413d9b09196b47422f40", "51ab3b714c0e4b618d59f65379d2dfd6", "260c103b36c94363a8f6b3f773cf1536", "c743c9df4cbc4bba9704d469d7178a43", "9316f78ab9434b83af8644855bccf676", "6831d21fcd71431c916d05c1213dc94b", "1f88879e6b42424196ddbb4a0ac7c082", "f60506a32b234143b6e055484ecb1497", "23116f151d104686a07f66c8306ef372", "3b774f6de122414e85e6f55433955eb6", "fd2784c30d1d42be91036729d0cb9409", "bb8ee5ad128e40a6bc82bb6e46d47b69", "68a2a339505c4db19ce603d077807f3a", "1214dc2d65924e1f8878be3ec6f3e30a", "4233bc7a495549078ad9899c8e71eac6", "64766b18f914436eb0782e86ba0aff14", "72e242ce051f49b78130877512fd664c", "c16930139c4e44e19b0d787e4f881816", "dc64351b68e14ac2b5cd353c6531f5e3", "e320cf5780004a939858af456445ae5d", "d6ebe8ff61134de3931cbc2cb6a7eec6", "6df3bb695b5644c9ace2f16708d0ee4f", "f126545dd210461dafd7374d8c6e73de", "b66df8ed7bc84bebb43a1141c1eee847", "0c0ce19428be4fab82e49e9b6bab894a", "c6a0968dc3334b71a47a91d78fdb0ac4", "11402901a13d4774bf7a68ba96803402", "2c6c95e6f2904134aae32e23d446a3d8", "a0e4874f7b3545db804be963d5eb95fa", "e4f910518522419ca3389ac98a98b892", "154f95514abb466f94101bb0038ef9bf", "e4cdb79af75b4a6597358882add78657", "f9571846d54443c6bea532f3175366d3", "50440e8bccad4da194430146642e7b11", "988546d9b2f849aab845f6edafc0b883", "051e6300fb1d48cc98bd60bde1485168", "3b6184bd922942e9845999300cbb7d78", "0c21096736864d18a89b41f222c53451", "e5d75554e3ff4d20a493794cc65fe331", "cdd73f231b05403f9ee3cd3a5ec74f20", "3bef6d15031048c8bcb783427a726ff8", "581f9edb08984fc5a0d0db0ce53494aa", "f1335d65139141989801e52667aad4ef", "deb9b9fb899e4806820ab8ba6ea10da0", "7bce6a20629b4db6898988583c309022", "341ab5b8df8c4f33a7292ff4bbb9ff4e", "45f28853b112429e9b81fec9e2de45a0", "905834de18bd42719d4c28e641e7f170", "aae4d85280de4023a0562ff23ff5b0f7", "48597b0e50a94f3ab0d94f035d1ba04c", "c07ae62de88843b9b50b68fca1dff7bc", "209a49ff508c46b8bf48465327e6a18e", "f943cce7216c452580dad169629e8d4c", "8736c1e3a9bb4bc8ac7af26aa0f331e9", "9d0cbea467314611914b5d091b9f5eed", "2a3cae7575814232a07357093c1fee49", "9ba7154ee3af4d6a8182397ddc9d9dde", "c71223c345a1435aa1fcb983fee8598e", "307e4c116d6740e0bd1bac97068e1d95", "fd59e314e6564b6bbf4f5dfe7ddce29e", "d5b991a0fd694b7f8b37cd2892d7876a", "ffdb61f4fe954ebb9c2e8ef08d0532b3", "9ee77c91e16f412191647fcace9058ef", "ecbf73063fa64703b14b707f3df7e203", "e571fd7fdafe4e2e8ae0c3e8dffe953b", "de67394afbce47249bdcdec1e27ffe85", "1d8ad87d00e24a6ea1cff7e589299e8d", "b6471f39480f428a957fe6ee85559b86", "12888be0efc24a53baa3b9790624ea66", "9265a0622f5d4a7787fe1947cdcfb1ad", "a3c4abd6525f477c96082c730ac5a05f", "382ff3d4c52846249cfafd0e1bc6e371", "bbbfbea8ac2f48d58d1f656f3d2cfccf", "b4bdc63200ab4c4f91f48e9a88378159", "fcfb6aff201a4c46a7206042fcbb8a80", "0add59d5b0884af9b9a0f7deebfe13d6", "659a73e4f484403f92bb47f10025a438", "7448541089d343eea4444c8054ba137e", "e1c8521f68564ffba408115028c7df27", "c5f5a88e4a704df09a78ae2be06b50b7", "730427a593ee40e0b859af68264bb954", "9626374ad67844feb1963d47e539906a", "8a57d4dec8a74589b93f2c01bb576f92", "011195dead844016a08642f36b04ae7b", "04c9a3be8b3342738be56169d66848d4", "bf80f51d0bb447b4aad47cd57f8bc2ee", "c29f4a5db190440eb241117d0657c463", "4aa321fc8883496f82bd127717567979", "ed4b4a4f9a7c4a498fa609b489e278f9", "0da44a3ff9cf4742b2c331687201faab", "d80359a493ff446aab71199202321864", "0a7a195400bb4f2295fd82600500e26e", "41b5d212738b43a59c2d8b06087ebadc", "e78c00a8441a43a6a7b89366d6b8c76c", "89be73cd23c44233b9e73a4948374078", "2aa5e1b51e61485e90d63449bb89257f", "c0b4e23e8136462eb4e2b653bf89cca8", "6a94d76497164278a4f5d8fd0c4f6fb1", "2ae17cc10a294cfeb8efeeb0860a54ec", "513111c0cdfa4145a38fbc2165e12daf", "8dac5a19f0d245dc827b647f670c98b8", "389a2ffa75fa40079860d111b27960fc", "0a34a3f1ea53468194036565b27f3b00", "36bcccaa6e014090ae905235765ab923", "7840d7868b6a4bbbb749f79d932ade8a", "54ef61b40d744498aa7e3d81b65b5906", "d7088e14c45d4c7a8742f02f9d7e87e1" ] }, "id": "y3nQEFm3buE_", "outputId": "caa7d98d-603d-48c6-a6c5-c80cdbc9ba4c" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "59fbbba504be4f39b569c93fc8bb8f58", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Fetching 9 files: 0%| | 0/9 [00:00\n", "🚅 Components\n", " - sparse_text_embedder: FastembedSparseTextEmbedder\n", " - dense_text_embedder: FastembedTextEmbedder\n", " - retriever: QdrantHybridRetriever\n", "🛤️ Connections\n", " - sparse_text_embedder.sparse_embedding -> retriever.query_sparse_embedding (SparseEmbedding)\n", " - dense_text_embedder.embedding -> retriever.query_embedding (List[float])" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from haystack_integrations.components.retrievers.qdrant import QdrantHybridRetriever\n", "from haystack_integrations.components.embedders.fastembed import FastembedTextEmbedder\n", "\n", "\n", "hybrid_query = Pipeline()\n", "hybrid_query.add_component(\"sparse_text_embedder\", FastembedSparseTextEmbedder(model=\"prithvida/Splade_PP_en_v1\"))\n", "hybrid_query.add_component(\"dense_text_embedder\", FastembedTextEmbedder(model=\"BAAI/bge-small-en-v1.5\", prefix=\"Represent this sentence for searching relevant passages: \"))\n", "hybrid_query.add_component(\"retriever\", QdrantHybridRetriever(document_store=document_store))\n", "\n", "hybrid_query.connect(\"sparse_text_embedder.sparse_embedding\", \"retriever.query_sparse_embedding\")\n", "hybrid_query.connect(\"dense_text_embedder.embedding\", \"retriever.query_embedding\")" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "7Q0aM6w7jXz-", "outputId": "be23c879-429e-4599-e02e-af6b24f48b05" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Calculating sparse embeddings: 100%|██████████| 1/1 [00:00<00:00, 9.95it/s]\n", "Calculating embeddings: 100%|██████████| 1/1 [00:00<00:00, 12.05it/s]\n" ] } ], "source": [ "question = \"Where do capybaras live?\"\n", "\n", "results = hybrid_query.run(\n", " {\"dense_text_embedder\": {\"text\": question},\n", " \"sparse_text_embedder\": {\"text\": question}}\n", ")" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "hazITTKMjkge", "outputId": "27ae2e70-b769-4674-acd5-5b7b1caac033" }, "outputs": [ { "data": { "text/html": [ "
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              "id: fcc9a816e7f2312988dbd20146e4a5c07d8d8b409a373c4c3986d85c26dc0d61\n",
              "\n",
              "Capybaras have adapted well to urbanization in South America. They can be found in many areas in zoos and parks, \n",
              "and may live for 12 years in captivity, more than double their wild lifespan. Capybaras are docile and usually \n",
              "allow humans to pet and hand-feed them, but physical contact is normally discouraged, as their ticks can be vectors\n",
              "to Rocky Mountain spotted fever. The European Association of Zoos and Aquaria asked Drusillas Park in Alfriston, \n",
              "Sussex, England, to keep the studbook for capybaras, to monitor captive populations in Europe.\n",
              "score: 0.6666666666666666\n",
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              "id: 6a485709ae51c55b78252571c0808ef17129b32e930ea7d461c12d9afaf40672\n",
              "\n",
              "Its karyotype has 2n = 66 and FN = 102, meaning it has 66 chromosomes with a total of 102 arms. == Ecology == \n",
              "Capybaras are semiaquatic mammals found throughout all countries of South America except Chile. They live in \n",
              "densely forested areas near bodies of water, such as lakes, rivers, swamps, ponds, and marshes, as well as flooded \n",
              "savannah and along rivers in the tropical rainforest. They are superb swimmers and can hold their breath underwater\n",
              "for up to five minutes at a time.\n",
              "score: 0.6666666666666666\n",
              "---\n",
              "
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              "id: d8bd93eefa0c2feeb162972cd915fe29e3b13c98181a976d4751296c51547c77\n",
              " Capybara have flourished in cattle ranches. They roam in home ranges averaging 10 hectares (25 acres) in \n",
              "high-density populations.\n",
              "Many escapees from captivity can also be found in similar watery habitats around the world. Sightings are fairly \n",
              "common in Florida, although a breeding population has not yet been confirmed.\n",
              "score: 0.6428571428571428\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: d8bd93eefa0c2feeb162972cd915fe29e3b13c98181a976d4751296c51547c77\n", " Capybara have flourished in cattle ranches. They roam in home ranges averaging \u001b[1;36m10\u001b[0m hectares \u001b[1m(\u001b[0m\u001b[1;36m25\u001b[0m acres\u001b[1m)\u001b[0m in \n", "high-density populations.\n", "Many escapees from captivity can also be found in similar watery habitats around the world. Sightings are fairly \n", "common in Florida, although a breeding population has not yet been confirmed.\n", "score: \u001b[1;36m0.6428571428571428\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "id: a1cb26bcd9d053fc8e7a3c8b6716801b37ca37940c6f8b7865d6f6bb50b38f2f\n",
              " The capybara inhabits savannas and dense forests, and lives near bodies of water. It is a highly social species \n",
              "and can be found in groups as large as 100 individuals, but usually live in groups of 10–20 individuals. The \n",
              "capybara is hunted for its meat and hide and also for grease from its thick fatty skin. == Etymology ==\n",
              "Its common name is derived from Tupi ka'apiûara, a complex agglutination of kaá (leaf) + píi (slender) + ú (eat) + \n",
              "ara (a suffix for agent nouns), meaning \"one who eats slender leaves\", or \"grass-eater\".\n",
              "score: 0.45\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: a1cb26bcd9d053fc8e7a3c8b6716801b37ca37940c6f8b7865d6f6bb50b38f2f\n", " The capybara inhabits savannas and dense forests, and lives near bodies of water. It is a highly social species \n", "and can be found in groups as large as \u001b[1;36m100\u001b[0m individuals, but usually live in groups of \u001b[1;36m10\u001b[0m–\u001b[1;36m20\u001b[0m individuals. The \n", "capybara is hunted for its meat and hide and also for grease from its thick fatty skin. == Etymology ==\n", "Its common name is derived from Tupi ka'apiûara, a complex agglutination of kaá \u001b[1m(\u001b[0mleaf\u001b[1m)\u001b[0m + píi \u001b[1m(\u001b[0mslender\u001b[1m)\u001b[0m + ú \u001b[1m(\u001b[0meat\u001b[1m)\u001b[0m + \n", "ara \u001b[1m(\u001b[0ma suffix for agent nouns\u001b[1m)\u001b[0m, meaning \u001b[32m\"one who eats slender leaves\"\u001b[0m, or \u001b[32m\"grass-eater\"\u001b[0m.\n", "score: \u001b[1;36m0.45\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "id: d70f54cc66a83b56210c801ecd49c95bae5fef4ab38989d38b26dc53449b192d\n",
              " In 2011, one specimen was spotted on the Central Coast of California. These escaped populations occur in areas \n",
              "where prehistoric capybaras inhabited; late Pleistocene capybaras inhabited Florida and Hydrochoerus \n",
              "hesperotiganites in California and Hydrochoerus gaylordi in Grenada, and feral capybaras in North America may \n",
              "actually fill the ecological niche of the Pleistocene species. === Diet and predation === Capybaras are herbivores,\n",
              "grazing mainly on grasses and aquatic plants, as well as fruit and tree bark. They are very selective feeders and \n",
              "feed on the leaves of one species and disregard other species surrounding it.\n",
              "score: 0.45\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: d70f54cc66a83b56210c801ecd49c95bae5fef4ab38989d38b26dc53449b192d\n", " In \u001b[1;36m2011\u001b[0m, one specimen was spotted on the Central Coast of California. These escaped populations occur in areas \n", "where prehistoric capybaras inhabited; late Pleistocene capybaras inhabited Florida and Hydrochoerus \n", "hesperotiganites in California and Hydrochoerus gaylordi in Grenada, and feral capybaras in North America may \n", "actually fill the ecological niche of the Pleistocene species. === Diet and predation === Capybaras are herbivores,\n", "grazing mainly on grasses and aquatic plants, as well as fruit and tree bark. They are very selective feeders and \n", "feed on the leaves of one species and disregard other species surrounding it.\n", "score: \u001b[1;36m0.45\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "id: 15755cebd1049a00c4656aaa7cf6c417966b81e482732e1c97288d58a08b53b2\n",
              "The capybara or greater capybara (Hydrochoerus hydrochaeris) is a giant cavy rodent native to South America. It is \n",
              "the largest living rodent and a member of the genus Hydrochoerus. The only other extant member is the lesser \n",
              "capybara (Hydrochoerus isthmius). Its close relatives include guinea pigs and rock cavies, and it is more distantly\n",
              "related to the agouti, the chinchilla, and the nutria.\n",
              "score: 0.30952380952380953\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: 15755cebd1049a00c4656aaa7cf6c417966b81e482732e1c97288d58a08b53b2\n", "The capybara or greater capybara \u001b[1m(\u001b[0mHydrochoerus hydrochaeris\u001b[1m)\u001b[0m is a giant cavy rodent native to South America. It is \n", "the largest living rodent and a member of the genus Hydrochoerus. The only other extant member is the lesser \n", "capybara \u001b[1m(\u001b[0mHydrochoerus isthmius\u001b[1m)\u001b[0m. Its close relatives include guinea pigs and rock cavies, and it is more distantly\n", "related to the agouti, the chinchilla, and the nutria.\n", "score: \u001b[1;36m0.30952380952380953\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "id: 4261a2ae42f4edf8885c6e4c483356c994ad7699fd814e3b8f5da115aa5560ea\n",
              " Alloparenting has been observed in this species. Breeding peaks between April and May in Venezuela and between \n",
              "October and November in Mato Grosso, Brazil. === Activities ===\n",
              "Though quite agile on land, capybaras are equally at home in the water. They are excellent swimmers, and can remain\n",
              "completely submerged for up to five minutes, an ability they use to evade predators.\n",
              "score: 0.2361111111111111\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: 4261a2ae42f4edf8885c6e4c483356c994ad7699fd814e3b8f5da115aa5560ea\n", " Alloparenting has been observed in this species. Breeding peaks between April and May in Venezuela and between \n", "October and November in Mato Grosso, Brazil. === Activities ===\n", "Though quite agile on land, capybaras are equally at home in the water. They are excellent swimmers, and can remain\n", "completely submerged for up to five minutes, an ability they use to evade predators.\n", "score: \u001b[1;36m0.2361111111111111\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "id: a1fc3b907198e9d3e1d95d4c08f0fefae6861ce810d1b32479b50753326bdf58\n",
              " == Conservation and human interaction ==\n",
              "Capybaras are not considered a threatened species; their population is stable throughout most of their South \n",
              "American range, though in some areas hunting has reduced their numbers. Capybaras are hunted for their meat and \n",
              "pelts in some areas, and otherwise killed by humans who see their grazing as competition for livestock. In some \n",
              "areas, they are farmed, which has the effect of ensuring the wetland habitats are protected. Their survival is \n",
              "aided by their ability to breed rapidly.\n",
              "score: 0.20202020202020202\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: a1fc3b907198e9d3e1d95d4c08f0fefae6861ce810d1b32479b50753326bdf58\n", " == Conservation and human interaction ==\n", "Capybaras are not considered a threatened species; their population is stable throughout most of their South \n", "American range, though in some areas hunting has reduced their numbers. Capybaras are hunted for their meat and \n", "pelts in some areas, and otherwise killed by humans who see their grazing as competition for livestock. In some \n", "areas, they are farmed, which has the effect of ensuring the wetland habitats are protected. Their survival is \n", "aided by their ability to breed rapidly.\n", "score: \u001b[1;36m0.20202020202020202\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "id: 5429437120fdd0611ba2f14db51a28dfd894cd7221264c805dfe43de6ba95f7e\n",
              " In Japan, following the lead of Izu Shaboten Zoo in 1982, multiple establishments or zoos in Japan that raise \n",
              "capybaras have adopted the practice of having them relax in onsen during the winter. They are seen as an attraction\n",
              "by Japanese people. Capybaras became popular in Japan due to the popular cartoon character Kapibara-san.\n",
              "In August 2021, Argentine and international media reported that capybaras had been causing serious problems for \n",
              "residents of Nordelta, an affluent gated community north of Buenos Aires built atop wetland habitat.\n",
              "score: 0.125\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: 5429437120fdd0611ba2f14db51a28dfd894cd7221264c805dfe43de6ba95f7e\n", " In Japan, following the lead of Izu Shaboten Zoo in \u001b[1;36m1982\u001b[0m, multiple establishments or zoos in Japan that raise \n", "capybaras have adopted the practice of having them relax in onsen during the winter. They are seen as an attraction\n", "by Japanese people. Capybaras became popular in Japan due to the popular cartoon character Kapibara-san.\n", "In August \u001b[1;36m2021\u001b[0m, Argentine and international media reported that capybaras had been causing serious problems for \n", "residents of Nordelta, an affluent gated community north of Buenos Aires built atop wetland habitat.\n", "score: \u001b[1;36m0.125\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "id: a87985b28681d12e9897eae531fb5e93ecd0c702a5419708ddcbc03ae13c0ed0\n",
              "\n",
              "They can have a lifespan of 8–10 years, but tend to live less than four years in the wild due to predation from big\n",
              "cats like the jaguars and pumas and non-mammalian predators like eagles and the caimans. The capybara is also the \n",
              "preferred prey of the green anaconda. == Social organization == Capybaras are known to be gregarious. While they \n",
              "sometimes live solitarily, they are more commonly found in groups of around 10–20 individuals, with two to four \n",
              "adult males, four to seven adult females, and the remainder juveniles.\n",
              "score: 0.1\n",
              "---\n",
              "
\n" ], "text/plain": [ "\n", "id: a87985b28681d12e9897eae531fb5e93ecd0c702a5419708ddcbc03ae13c0ed0\n", "\n", "They can have a lifespan of \u001b[1;36m8\u001b[0m–\u001b[1;36m10\u001b[0m years, but tend to live less than four years in the wild due to predation from big\n", "cats like the jaguars and pumas and non-mammalian predators like eagles and the caimans. The capybara is also the \n", "preferred prey of the green anaconda. == Social organization == Capybaras are known to be gregarious. While they \n", "sometimes live solitarily, they are more commonly found in groups of around \u001b[1;36m10\u001b[0m–\u001b[1;36m20\u001b[0m individuals, with two to four \n", "adult males, four to seven adult females, and the remainder juveniles.\n", "score: \u001b[1;36m0.1\u001b[0m\n", "---\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import rich\n", "\n", "for d in results['retriever']['documents']:\n", " rich.print(f\"\\nid: {d.id}\\n{d.content}\\nscore: {d.score}\\n---\")" ] }, { "cell_type": "markdown", "metadata": { "id": "5mHu_jbeFcyQ" }, "source": [ "## 📚 Docs on Sparse Embedding support in Haystack\n", "- [Retrievers](https://docs.haystack.deepset.ai/docs/retrievers)\n", "- [Qdrant Sparse Embedding Retriever](https://docs.haystack.deepset.ai/docs/qdrantsparseembeddingretriever)\n", "- [Qdrant Hybrid Retriever](https://docs.haystack.deepset.ai/docs/qdranthybridretriever)\n", "- [FastEmbed Sparse Text Embedder](https://docs.haystack.deepset.ai/docs/fastembedsparsetextembedder)\n", "- [Fastembed Sparse Document Embedder](https://docs.haystack.deepset.ai/docs/fastembedsparsedocumentembedder)" ] }, { "cell_type": "markdown", "metadata": { "id": "w4i2BQL9En-H" }, "source": [ "(*Notebook by [Stefano Fiorucci](https://github.com/anakin87)*)" ] } ], "metadata": { "colab": { "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "002cb461076e44849fa2fa7c68a95120": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": 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