diff --git a/colabs/llamaindex/rag/00_vector_index.ipynb b/colabs/llamaindex/rag/00_vector_index.ipynb new file mode 100644 index 00000000..466030fb --- /dev/null +++ b/colabs/llamaindex/rag/00_vector_index.ipynb @@ -0,0 +1,21734 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "uH34dhEkzcrz" + }, + "outputs": [], + "source": [ + "!pip install -qU rich\n", + "!pip install -qU wandb\n", + "!pip install -qU git+https://github.com/wandb/weave.git@feat/groq\n", + "!pip install -qU llama-index\n", + "!pip install -qU llama-index-embeddings-huggingface llama-index-llms-groq" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2S5FmyVb5jr_" + }, + "source": [ + "## Data Ingestion" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "lsK6YGDI10wi" + }, + "outputs": [], + "source": [ + "import os\n", + "from typing import List\n", + "\n", + "import rich\n", + "import wandb\n", + "import weave\n", + "from llama_index.core import SimpleDirectoryReader" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 140 + }, + "id": "vWriFoKN4zBH", + "outputId": "08fb298c-ba92-43b9-9e09-6c328c436787" + }, + "outputs": [], + "source": [ + "wandb.init(project=\"groq-rag\", job_type=\"build-vector-index\")\n", + "weave.init(project_name=\"groq-rag\")\n", + "\n", + "config = wandb.config\n", + "config.embed_model_name = \"BAAI/bge-small-en-v1.5\"\n", + "config.node_parser_buffer_size = 1\n", + "config.node_parser_breakpoint_percentile_threshold = 95\n", + "config.groq_llm = \"mixtral-8x7b-32768\"\n", + "\n", + "artifact = wandb.use_artifact(\n", + " \"geekyrakshit/groq-rag/ncert-flamingoes:latest\", type=\"dataset\"\n", + ")\n", + "artifact_dir = artifact.download()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "V74vG2i34wYo", + "outputId": "0700d7d5-410d-4ba3-8a85-453c9cabc51f" + }, + "outputs": [], + "source": [ + "reader = SimpleDirectoryReader(\n", + " input_dir=os.path.join(artifact_dir, \"prose\", \"chapters\")\n", + ")\n", + "documents = weave.op()(reader.load_data)(\n", + " num_workers=4, show_progress=True\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "id": "4DmyUcBN6m8_", + "outputId": "b70c359f-28d4-4baf-8b83-857884cdc60e" + }, + "outputs": [], + "source": [ + "rich.print(f\"{len(documents)=}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 578 + }, + "id": "qmFkDaa87QUf", + "outputId": "ab2a6022-d1aa-40e4-af0d-4848741af3bf" + }, + "outputs": [], + "source": [ + "rich.print(f\"{documents[0].text}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "JgUGcigdE-sw" + }, + "source": [ + "## Vector Embeddings" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "-N_ffwytC5ff" + }, + "outputs": [], + "source": [ + "from llama_index.core.node_parser import SemanticSplitterNodeParser\n", + "from llama_index.embeddings.huggingface import HuggingFaceEmbedding" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "8X59U1-AFBj0", + "outputId": "034b8f26-c118-4679-a191-e24f810e7a82" + }, + "outputs": [], + "source": [ + "embed_model = HuggingFaceEmbedding(model_name=config.embed_model_name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000, + "referenced_widgets": [ + "d950ade96f4b471a99943933a45a4dc8", + "ed6e733dd54a40a1a2e24b718fcc0293", + "ce8f7553131f404c9a0c2e536c601853", + 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"cell_type": "code", + "execution_count": null, + "metadata": { + "id": "rNUhnSmcJQO5" + }, + "outputs": [], + "source": [ + "from google.colab import userdata\n", + "from llama_index.core import ServiceContext, VectorStoreIndex\n", + "from llama_index.llms.groq import Groq" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "r2iBN5QmJHmy" + }, + "outputs": [], + "source": [ + "llm = Groq(\n", + " model=config.groq_llm,\n", + " api_key=userdata.get(\"GROQ_API_KEY\")\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 137, + "referenced_widgets": [ + "6a6e0f5afa6547af8c640204cd9ed1ba", + "b892d36a8daf4deb8d4cc7a62ddbb7d4", + "1833a993fd414d8ab89848995920ef85", + "1994d9708b9b475b9a4ea09657f92dab", + "a027bd40b7854088bec40d52373e4103", + "f8ad281b1a3b465fb59cae0ecddb590f", + "59dbf5ca57ef4c4f90e88d3bf9b707a4", + "11d7f8cbc33643239658cbb6e6b69867", + 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persist_dir=\"./vector_embedding_storage\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 122, + "referenced_widgets": [ + "045d4bed81a64a229422443630e1df9b", + "ef8f937769de461895423a072c2245d3", + "2b0fe25db3ef47a2a28d7c144d571533", + "745a48ce3fdd4c22bc8d5b345269d758", + "eeebb72a39bc41dea4a242a847dbde11", + "091ca1db09d7476cbe17d88fab617811", + "1a10697be69b4b9c837afae2588d2751", + "e43b68b53c4544c3b645673f7341a49f" + ] + }, + "id": "q1U8hVTXLRf6", + "outputId": "ee78f005-becf-44cb-cd61-c90e7bb84315" + }, + "outputs": [], + "source": [ + "artifact = wandb.Artifact(\n", + " name=\"ncert-flamingoes-prose-embeddings\", type=\"vector_index\"\n", + ")\n", + "artifact.add_dir(local_path=\"./vector_embedding_storage\")\n", + "wandb.log_artifact(artifact)\n", + "wandb.finish()" + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": 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b/colabs/llamaindex/rag/01_rag_engine.ipynb new file mode 100644 index 00000000..456067c4 --- /dev/null +++ b/colabs/llamaindex/rag/01_rag_engine.ipynb @@ -0,0 +1,714 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "RsFfuMy-xhil", + "outputId": "839756dc-7966-4b69-d62f-302933464285" + }, + "outputs": [], + "source": [ + "!pip install -qU rich\n", + "!pip install -qU wandb\n", + "!pip install -qU git+https://github.com/wandb/weave.git@feat/groq\n", + "!pip install -qU llama-index\n", + "!pip install -qU llama-index-embeddings-huggingface llama-index-llms-groq" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "uamOhAY7zuJd" + }, + "outputs": [], + "source": [ + "import os\n", + "import rich\n", + "from google.colab import userdata\n", + "\n", + "import wandb\n", + "import weave\n", + "\n", + "from llama_index.core import (\n", + " ServiceContext, StorageContext, load_index_from_storage\n", + ")\n", + "from llama_index.embeddings.huggingface import HuggingFaceEmbedding\n", + "from llama_index.llms.groq import Groq" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 240, + "referenced_widgets": [ + "6870e47634354af6ac1dcbd9357206de", + "d579710dd71f4fa5b27e0706040b7e8d", + "47a7abea003e445eaa1b6b6ecf29ddf8", + "2f686cdd7c194f2aa89e3c23064e6b1c", + "a3fc5a351ab743629ffd1879abeee97d", + "2f3b8808e06c408b8c82a1ed000f62fa", + "84221c55e1974023b6c070938f57176d", + "c009572361ce4d749baf0290cb3bbdb0" + ] + }, + "id": "jxfj49GZz9Hb", + "outputId": "c8fd5b93-82fb-4566-a86c-d440604aee87" + }, + "outputs": [], + "source": [ + "wandb.init(project=\"groq-rag\", job_type=\"query\")\n", + "weave.init(project_name=\"groq-rag\")\n", + "\n", + "config = wandb.config\n", + "config.embed_model_name = \"BAAI/bge-small-en-v1.5\"\n", + "config.groq_llm = \"mixtral-8x7b-32768\"\n", + "config.similarity_top_k = 10\n", + "\n", + "artifact = wandb.use_artifact(\n", + " \"geekyrakshit/groq-rag/ncert-flamingoes-prose-embeddings:latest\",\n", + " type=\"vector_index\"\n", + ")\n", + "artifact_dir = artifact.download()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "xvdgCyXo152N", + "outputId": "9ba26424-e2d7-40d7-b476-9f99463917dd" + }, + "outputs": [], + "source": [ + "llm = Groq(model=config.groq_llm, api_key=userdata.get(\"GROQ_API_KEY\"))\n", + "embed_model = HuggingFaceEmbedding(model_name=config.embed_model_name)\n", + "service_context = ServiceContext.from_defaults(\n", + " embed_model=embed_model, llm=llm\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "9WMeCoEG3200" + }, + "outputs": [], + "source": [ + "storage_context = StorageContext.from_defaults(persist_dir=artifact_dir)\n", + "index = load_index_from_storage(\n", + " storage_context, service_context=service_context\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "dxVVj3NI4orL" + }, + "outputs": [], + "source": [ + "query_engine = index.as_query_engine(\n", + " service_context=service_context,\n", + " similarity_top_k=config.similarity_top_k,\n", + " # node_postprocessors=[cohere_rerank],\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 133 + }, + "id": "kcMqcWTS40_-", + "outputId": "eb946505-2c6d-4e03-941c-74de0888f790" + }, + "outputs": [], + "source": [ + "query = \"\"\"In the story \\\"The Last Lesson\\\",\n", + "what was the mood in the classroom when M. Hamel gave his last French lesson?\n", + "\"\"\"\n", + "response = query_engine.query(query).response\n", + "\n", + "rich.print(response)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "lz_w3C095TWN" + }, + "outputs": [], + "source": [ + "table = wandb.Table(columns=[\"query\", \"response\"], data=[[query, response]])\n", + "wandb.log({\"response\": table})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 122, + "referenced_widgets": [ + "a95fca9f56854b128d9c2a8d8d76b624", + "80ad09a4083642b98d536ad70e372906", + "e6592cf363e64379b426a0ac649f1272", + "29298bad406c433b9f551b87ea090490", + "8427b17c88ad4ff89d9aa782210e0c13", + "24cd2214d9da4916955105fca3596889", + "9c55c2942f8e4b02ba7fdbd42e2509e3", + "d0a384a6f8fd4b429821bc1683f3a01c" + ] + }, + "id": "rH3fNoJP5nTT", + "outputId": "d8ad1733-00bd-4f29-d6a4-152ed3224499" + }, + "outputs": [], + "source": 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