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https://github.com/hwchase17/langchain.git
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339 lines
10 KiB
Plaintext
339 lines
10 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "05859721",
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"metadata": {},
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"source": [
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"# Question Answering\n",
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"\n",
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"This notebook walks through how to use LangChain for question answering over a list of documents. It covers three different types of chaings: `stuff`, `map_reduce`, and `refine`. For a more in depth explanation of what these chain types are, see [here](../../explanation/combine_docs.md)."
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]
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},
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{
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"cell_type": "markdown",
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"id": "726f4996",
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"metadata": {},
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"source": [
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"### Prepare Data\n",
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"First we prepare the data. For this example we do similarity search over a vector database, but these documents could be fetched in any manner (the point of this notebook to highlight what to do AFTER you fetch the documents)."
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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": 1,
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"id": "17fcbc0f",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.embeddings.openai import OpenAIEmbeddings\n",
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"from langchain.text_splitter import CharacterTextSplitter\n",
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"from langchain.vectorstores.faiss import FAISS\n",
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"from langchain.docstore.document import Document"
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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": 2,
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"id": "291f0117",
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"metadata": {},
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"outputs": [],
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"source": [
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"with open('../state_of_the_union.txt') as f:\n",
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" state_of_the_union = f.read()\n",
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"text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
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"texts = text_splitter.split_text(state_of_the_union)\n",
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"\n",
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"embeddings = OpenAIEmbeddings()"
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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": 3,
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"id": "fd9666a9",
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"metadata": {},
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"outputs": [],
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"source": [
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"docsearch = FAISS.from_texts(texts, embeddings)"
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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": 4,
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"id": "d1eaf6e6",
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"metadata": {},
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"outputs": [],
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"source": [
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"query = \"What did the president say about Justice Breyer\"\n",
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"docs = docsearch.similarity_search(query)"
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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": 5,
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"id": "a16e3453",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.chains.question_answering import load_qa_chain\n",
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"from langchain.llms import OpenAI"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f78787a0",
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"metadata": {},
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"source": [
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"### The `stuff` Chain\n",
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"\n",
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"This sections shows results of using the `stuff` Chain to do question answering."
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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": 6,
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"id": "180fd4c1",
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"metadata": {},
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"outputs": [],
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"source": [
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"chain = load_qa_chain(OpenAI(temperature=0), chain_type=\"stuff\")"
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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": 7,
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"id": "d145ae31",
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"metadata": {},
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"outputs": [],
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"source": [
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"docs = [Document(page_content=t) for t in texts[:3]]"
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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": 8,
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"id": "77fdf1aa",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'output_text': ' The president did not mention Justice Breyer.'}"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"query = \"What did the president say about Justice Breyer\"\n",
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"chain({\"input_documents\": docs, \"question\": query}, return_only_outputs=True)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "91522e29",
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"metadata": {},
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"source": [
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"### The `map_reduce` Chain\n",
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"\n",
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"This sections shows results of using the `map_reduce` Chain to do question answering."
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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": 9,
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"id": "b0060f51",
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"metadata": {},
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"outputs": [],
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"source": [
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"chain = load_qa_chain(OpenAI(temperature=0), chain_type=\"map_reduce\")"
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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": 10,
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"id": "fbdb9137",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'output_text': ' The president did not mention Justice Breyer.'}"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"query = \"What did the president say about Justice Breyer\"\n",
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"chain({\"input_documents\": docs, \"question\": query}, return_only_outputs=True)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "31478d32",
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"metadata": {},
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"source": [
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"**Intermediate Steps**\n",
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"\n",
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"We can also return the intermediate steps for `map_reduce` chains, should we want to inspect them. This is done with the `return_map_steps` variable."
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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": 7,
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"id": "452c8680",
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"metadata": {},
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"outputs": [],
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"source": [
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"chain = load_qa_chain(OpenAI(temperature=0), chain_type=\"map_reduce\", return_map_steps=True)"
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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": 8,
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"id": "90b47a75",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'map_steps': [{'text': ' \"Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.\"'},\n",
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" {'text': ' None'},\n",
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" {'text': ' None'},\n",
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" {'text': ' None'}],\n",
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" 'output_text': ' The president said, \"Justice Breyer, thank you for your service.\"'}"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"chain({\"input_documents\": docs, \"question\": query}, return_only_outputs=True)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6ea50ad0",
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"metadata": {},
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"source": [
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"### The `refine` Chain\n",
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"\n",
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"This sections shows results of using the `refine` Chain to do question answering."
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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": 11,
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"id": "fb167057",
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"metadata": {},
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"outputs": [],
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"source": [
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"chain = load_qa_chain(OpenAI(temperature=0), chain_type=\"refine\")"
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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": 12,
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"id": "d8b5286e",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'output_text': \"\\n\\nThe president did not mention Justice Breyer in his speech to the European Parliament about building a coalition of freedom-loving nations to confront Putin, unifying European allies, countering Russia's lies with truth, and enforcing powerful economic sanctions.\"}"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"query = \"What did the president say about Justice Breyer\"\n",
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"chain({\"input_documents\": docs, \"question\": query}, return_only_outputs=True)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f95dfb2e",
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"metadata": {},
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"source": [
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"**Intermediate Steps**\n",
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"\n",
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"We can also return the intermediate steps for `refine` chains, should we want to inspect them. This is done with the `return_refine_steps` variable."
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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": 9,
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"id": "a5c64200",
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"metadata": {},
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"outputs": [],
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"source": [
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"chain = load_qa_chain(OpenAI(temperature=0), chain_type=\"refine\", return_refine_steps=True)"
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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": 10,
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"id": "817546ac",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'refine_steps': ['\\nThe president said that he wanted to honor Justice Breyer for his dedication to serving the country and his legacy of excellence.',\n",
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" '\\n\\nThe president said that he wanted to honor Justice Breyer for his dedication to serving the country, his legacy of excellence, and his commitment to advancing liberty and justice.',\n",
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" '\\n\\nThe president said that he wanted to honor Justice Breyer for his dedication to serving the country, his legacy of excellence, and his commitment to advancing liberty and justice, as well as for his commitment to protecting the rights of LGBTQ+ Americans and his support for the bipartisan Equality Act.',\n",
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" '\\n\\nThe president said that he wanted to honor Justice Breyer for his dedication to serving the country, his legacy of excellence, and his commitment to advancing liberty and justice, as well as for his commitment to protecting the rights of LGBTQ+ Americans and his support for the bipartisan Equality Act. He also mentioned his plan to lower costs to give families a fair shot, lower the deficit, and go after criminals who stole pandemic relief funds. He also announced that the Justice Department will name a chief prosecutor for pandemic fraud.'],\n",
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" 'output_text': '\\n\\nThe president said that he wanted to honor Justice Breyer for his dedication to serving the country, his legacy of excellence, and his commitment to advancing liberty and justice, as well as for his commitment to protecting the rights of LGBTQ+ Americans and his support for the bipartisan Equality Act. He also mentioned his plan to lower costs to give families a fair shot, lower the deficit, and go after criminals who stole pandemic relief funds. He also announced that the Justice Department will name a chief prosecutor for pandemic fraud.'}"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"chain({\"input_documents\": docs, \"question\": query}, return_only_outputs=True)"
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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": "97d335c6",
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"metadata": {},
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"outputs": [],
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"source": []
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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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"version": "3.10.8"
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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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