{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "O2LloFrDAe6M"
   },
   "source": [
    "# Build with Mixtral-8x7B-Instruct-v0.1 & Haystack\n",
    "\n",
    "_Colab by Tuana Celik - ([LI](https://www.linkedin.com/in/tuanacelik/) & [Twitter](https://twitter.com/tuanacelik))_\n",
    "\n",
    "\n",
    "Quick guide to building with the new `Mixtral-8x7B-Instruct-v0.1` model by Mistral AI.\n",
    "\n",
    "\n",
    "**Why is Mixtral different?**\n",
    "\n",
    "This is quite a cool new model. It's the first of its kind as an open-source model in that it is a _mixture_ (get _Mix_ tral) of 8 7B parameter models. This [article on Hugging Face](https://huggingface.co/blog/moe) describes this phenomenon way better and in way more detail than I can. The idea is that it's a mixture of 8 different \"experts\", with a router that routes a query to a given expert (not entirely accurate, but a good way to simplify). This means not all 8 models are inferenced, making it remarkably fast too!\n",
    "\n",
    "\n",
    "\n",
    "1. Use the [`HuggingFaceAPIChatGenerator`](https://docs.haystack.deepset.ai/docs/huggingfaceapichatgenerator) to query the model on its own\n",
    "2. Add the generator to a full RAG Pipeline (on the web)\n",
    "\n",
    "\n",
    "![Screenshot 2023-12-13 at 17.46.33.png](data:image/png;base64,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)\n",
    "### Install dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "w93eC6fhBNZm"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2mUsing Python 3.12.6 environment at: /Users/dsbatista/haystack-cookbook/.venv\u001b[0m\n",
      "\u001b[2K\u001b[2mResolved \u001b[1m70 packages\u001b[0m \u001b[2min 813ms\u001b[0m\u001b[0m                                        \u001b[0m\n",
      "\u001b[2K\u001b[2mPrepared \u001b[1m2 packages\u001b[0m \u001b[2min 444ms\u001b[0m\u001b[0m                                             \n",
      "\u001b[2mUninstalled \u001b[1m1 package\u001b[0m \u001b[2min 147ms\u001b[0m\u001b[0m\n",
      "\u001b[2K\u001b[2mInstalled \u001b[1m10 packages\u001b[0m \u001b[2min 111ms\u001b[0m\u001b[0m                              \u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mcourlan\u001b[0m\u001b[2m==1.3.2\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mdateparser\u001b[0m\u001b[2m==1.2.2\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mhtmldate\u001b[0m\u001b[2m==1.9.3\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mjustext\u001b[0m\u001b[2m==3.0.2\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mlxml\u001b[0m\u001b[2m==5.4.0\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mlxml-html-clean\u001b[0m\u001b[2m==0.4.2\u001b[0m\n",
      " \u001b[31m-\u001b[39m \u001b[1msympy\u001b[0m\u001b[2m==1.14.0\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1msympy\u001b[0m\u001b[2m==1.13.1\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mtld\u001b[0m\u001b[2m==0.13.1\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mtrafilatura\u001b[0m\u001b[2m==2.0.0\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mtzlocal\u001b[0m\u001b[2m==5.3.1\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!uv pip install haystack-ai trafilatura sentence_transformers \"huggingface_hub>=0.22.0\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TShvtKl8Bp52"
   },
   "source": [
    "## Prompt the Model - Standalone\n",
    "\n",
    "We are using Hugging Face Serverless Inference API.\n",
    "\n",
    "- This requires an API key: https://huggingface.co/settings/tokens\n",
    "- You should also accept Mistral conditions here: https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "QMEE9utECJ88"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter Hugging Face token:  ········\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from getpass import getpass\n",
    "\n",
    "os.environ[\"HF_API_TOKEN\"] = getpass(\"Enter Hugging Face token: \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from haystack.components.generators.chat import HuggingFaceAPIChatGenerator\n",
    "\n",
    "generator = HuggingFaceAPIChatGenerator(\n",
    "    api_type=\"serverless_inference_api\",\n",
    "    api_params={\"model\": \"mistralai/Mixtral-8x7B-Instruct-v0.1\"}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "-WWLhmHFBP6w"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Natural Language Processing, often abbreviated as NLP, is a branch of artificial intelligence that focuses on the interaction between computers and humans through natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human language in a valuable way.\n",
      "\n",
      "NLP involves several complex tasks such as language understanding, language generation, translation, and speech recognition. It's used in many applications we use daily, including search engines, voice-activated assistants, and automated customer service bots. \n",
      "\n",
      "By analyzing and interpreting human language, NLP enables machines to understand and respond to text or voice inputs in a way that's similar to how humans communicate. However, it's important to note that NLP technology still has limitations and is not perfect, but it's continually improving with advancements in machine learning and artificial intelligence.\n"
     ]
    }
   ],
   "source": [
    "from haystack.dataclasses import ChatMessage\n",
    "\n",
    "messages = [\n",
    "    ChatMessage.from_system(\"\\\\nYou are a helpful, respectful and honest assistant\"),\n",
    "    ChatMessage.from_user(\"What's Natural Language Processing?\")\n",
    "]\n",
    "\n",
    "result = generator.run(messages)\n",
    "print(result[\"replies\"][0].text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Or9F23OIC5dV"
   },
   "source": [
    "## Use the Model in a full RAG pipeline (on the web)\n",
    "\n",
    "Here, we will be using the same `generator` component as the above, in a full RAG pipeline. You can change this pipeline to use your own data source (such as a vector databse, Notion, documentation) instead of the [`LinkContentFetcher`](https://docs.haystack.deepset.ai/docs/linkcontentfetcher) we are using here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "lpzQD_AHC6fp"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "TransformersSimilarityRanker is considered legacy and will no longer receive updates. It may be deprecated in a future release, with removal following after a deprecation period. Consider using SentenceTransformersSimilarityRanker instead, which provides the same functionality along with additional features.\n",
      "ChatPromptBuilder has 2 prompt variables, but `required_variables` is not set. By default, all prompt variables are treated as optional, which may lead to unintended behavior in multi-branch pipelines. To avoid unexpected execution, ensure that variables intended to be required are explicitly set in `required_variables`.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<haystack.core.pipeline.pipeline.Pipeline object at 0x3082614c0>\n",
       "🚅 Components\n",
       "  - fetcher: LinkContentFetcher\n",
       "  - converter: HTMLToDocument\n",
       "  - splitter: DocumentSplitter\n",
       "  - ranker: TransformersSimilarityRanker\n",
       "  - prompt_builder: ChatPromptBuilder\n",
       "  - llm: HuggingFaceAPIChatGenerator\n",
       "🛤️ Connections\n",
       "  - fetcher.streams -> converter.sources (List[ByteStream])\n",
       "  - converter.documents -> splitter.documents (List[Document])\n",
       "  - splitter.documents -> ranker.documents (List[Document])\n",
       "  - ranker.documents -> prompt_builder.documents (List[Document])\n",
       "  - prompt_builder.prompt -> llm.messages (List[ChatMessage])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from haystack.components.fetchers.link_content import LinkContentFetcher\n",
    "from haystack.components.converters import HTMLToDocument\n",
    "from haystack.components.preprocessors import DocumentSplitter\n",
    "from haystack.components.rankers import TransformersSimilarityRanker\n",
    "from haystack.components.builders.chat_prompt_builder import ChatPromptBuilder\n",
    "from haystack import Pipeline\n",
    "\n",
    "fetcher = LinkContentFetcher()\n",
    "converter = HTMLToDocument()\n",
    "document_splitter = DocumentSplitter(split_by=\"word\", split_length=50)\n",
    "similarity_ranker = TransformersSimilarityRanker(top_k=3)\n",
    "\n",
    "prompt_template = \"\"\"\n",
    "According to these documents:\n",
    "\n",
    "{% for doc in documents %}\n",
    "  {{ doc.content }}\n",
    "{% endfor %}\n",
    "\n",
    "Answer the given question: {{question}}\n",
    "Answer:\n",
    "\"\"\"\n",
    "\n",
    "prompt_template = [ChatMessage.from_user(prompt_template)]\n",
    "prompt_builder = ChatPromptBuilder(template=prompt_template)\n",
    "\n",
    "pipeline = Pipeline()\n",
    "pipeline.add_component(\"fetcher\", fetcher)\n",
    "pipeline.add_component(\"converter\", converter)\n",
    "pipeline.add_component(\"splitter\", document_splitter)\n",
    "pipeline.add_component(\"ranker\", similarity_ranker)\n",
    "pipeline.add_component(\"prompt_builder\", prompt_builder)\n",
    "pipeline.add_component(\"llm\", generator)\n",
    "\n",
    "pipeline.connect(\"fetcher.streams\", \"converter.sources\")\n",
    "pipeline.connect(\"converter.documents\", \"splitter.documents\")\n",
    "pipeline.connect(\"splitter.documents\", \"ranker.documents\")\n",
    "pipeline.connect(\"ranker.documents\", \"prompt_builder.documents\")\n",
    "pipeline.connect(\"prompt_builder.prompt\", \"llm\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "DTo_w6cyEymq"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ChatMessage(_role=<ChatRole.ASSISTANT: 'assistant'>, _content=[TextContent(text=' Based on the information provided, graphs, specifically directed acyclic graphs (DAGs), are relevant to the earlier version of Haystack, version 1.x, as the pipeline components were organized in a DAG structure, which meant that the pipeline had to be acyclic and directed, and could not branch out, join, or cycle back to another component. However, with Haystack 2.0, the requirement for the pipeline to be acyclic is being removed, allowing for more complex and flexible pipeline configurations, such as pipelines that can retry, loop back, and potentially cycle back to another component. This change will make the framework better suited to a wider range of use cases and make the code more explicit and self-explanatory.')], _name=None, _meta={'model': 'mistralai/Mixtral-8x7B-Instruct-v0.1', 'finish_reason': 'stop', 'index': 0, 'usage': {'prompt_tokens': 268, 'completion_tokens': 156}})\n"
     ]
    }
   ],
   "source": [
    "question = \"What do graphs have to do with Haystack?\"\n",
    "result = pipeline.run({\"prompt_builder\": {\"question\": question},\n",
    "                   \"ranker\": {\"query\": question},\n",
    "                   \"fetcher\": {\"urls\": [\"https://haystack.deepset.ai/blog/introducing-haystack-2-beta-and-advent\"]},\n",
    "                    \"llm\":{}})\n",
    "\n",
    "print(result['llm']['replies'][0])"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "authorship_tag": "ABX9TyOaMhBZxtjs0xgAukYA5LQb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "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": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
