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261 lines
6.0 KiB
Plaintext
261 lines
6.0 KiB
Plaintext
{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "d7e0d5b7",
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"metadata": {},
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"source": [
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/vector_stores/FaissIndexDemo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "307804a3-c02b-4a57-ac0d-172c30ddc851",
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"metadata": {},
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"source": [
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"# Faiss Vector Store"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "380a9254",
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"metadata": {},
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"source": [
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"If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d5580100",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install llama-index-vector-stores-faiss"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "375ec23d",
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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install llama-index"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "f7010b1d-d1bb-4f08-9309-a328bb4ea396",
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"metadata": {},
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"source": [
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"#### Creating a Faiss Index"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a1b5e530",
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"metadata": {},
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"outputs": [],
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"source": [
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"import logging\n",
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"import sys\n",
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"\n",
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"logging.basicConfig(stream=sys.stdout, level=logging.INFO)\n",
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"logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0c9f4d21-145a-401e-95ff-ccb259e8ef84",
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"metadata": {},
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"outputs": [],
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"source": [
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"import faiss\n",
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"\n",
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"# dimensions of text-ada-embedding-002\n",
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"d = 1536\n",
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"faiss_index = faiss.IndexFlatL2(d)"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "8ee4473a-094f-4d0a-a825-e1213db07240",
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"metadata": {},
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"source": [
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"#### Load documents, build the VectorStoreIndex"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0a2bcc07",
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"metadata": {},
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"outputs": [],
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"source": [
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"from llama_index.core import (\n",
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" SimpleDirectoryReader,\n",
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" load_index_from_storage,\n",
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" VectorStoreIndex,\n",
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" StorageContext,\n",
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")\n",
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"from llama_index.vector_stores.faiss import FaissVectorStore\n",
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"from IPython.display import Markdown, display"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "9096dae7",
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"metadata": {},
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"source": [
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"Download Data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "335923ad",
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"metadata": {},
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"outputs": [],
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"source": [
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"!mkdir -p 'data/paul_graham/'\n",
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"!wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt' -O 'data/paul_graham/paul_graham_essay.txt'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "68cbd239-880e-41a3-98d8-dbb3fab55431",
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"metadata": {},
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"outputs": [],
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"source": [
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"# load documents\n",
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"documents = SimpleDirectoryReader(\"./data/paul_graham/\").load_data()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ba1558b3",
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"metadata": {},
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"outputs": [],
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"source": [
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"vector_store = FaissVectorStore(faiss_index=faiss_index)\n",
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"storage_context = StorageContext.from_defaults(vector_store=vector_store)\n",
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"index = VectorStoreIndex.from_documents(\n",
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" documents, storage_context=storage_context\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c36cadc1",
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"metadata": {},
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"outputs": [],
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"source": [
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"# save index to disk\n",
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"index.storage_context.persist()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "70b372a7",
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"metadata": {},
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"outputs": [],
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"source": [
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"# load index from disk\n",
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"vector_store = FaissVectorStore.from_persist_dir(\"./storage\")\n",
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"storage_context = StorageContext.from_defaults(\n",
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" vector_store=vector_store, persist_dir=\"./storage\"\n",
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")\n",
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"index = load_index_from_storage(storage_context=storage_context)"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "04304299-fc3e-40a0-8600-f50c3292767e",
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"metadata": {},
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"source": [
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"#### Query Index"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "35369eda",
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"metadata": {},
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"outputs": [],
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"source": [
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"# set Logging to DEBUG for more detailed outputs\n",
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"query_engine = index.as_query_engine()\n",
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"response = query_engine.query(\"What did the author do growing up?\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bedbb693-725f-478f-be26-fa7180ea38b2",
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"metadata": {},
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"outputs": [],
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"source": [
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"display(Markdown(f\"<b>{response}</b>\"))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "99212d33",
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"metadata": {},
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"outputs": [],
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"source": [
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"# set Logging to DEBUG for more detailed outputs\n",
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"query_engine = index.as_query_engine()\n",
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"response = query_engine.query(\n",
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" \"What did the author do after his time at Y Combinator?\"\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1a720ad6",
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"metadata": {},
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"outputs": [],
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"source": [
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"display(Markdown(f\"<b>{response}</b>\"))"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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