langchain/docs/modules/chains/combine_docs_examples/qa_with_sources.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"id": "74148cee",
"metadata": {},
"source": [
"# Question Answering with Sources\n",
"\n",
"This notebook walks through how to use LangChain for question answering with sources over a list of documents. It covers four different chain types: `stuff`, `map_reduce`, `refine`,`map-rerank`. For a more in depth explanation of what these chain types are, see [here](../combine_docs.md)."
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]
},
{
"cell_type": "markdown",
"id": "ca2f0efc",
"metadata": {},
"source": [
"## 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)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "78f28130",
"metadata": {},
"outputs": [],
"source": [
"from langchain.embeddings.openai import OpenAIEmbeddings\n",
"from langchain.embeddings.cohere import CohereEmbeddings\n",
"from langchain.text_splitter import CharacterTextSplitter\n",
"from langchain.vectorstores.elastic_vector_search import ElasticVectorSearch\n",
"from langchain.vectorstores.faiss import FAISS\n",
"from langchain.docstore.document import Document"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "4da195a3",
"metadata": {},
"outputs": [],
"source": [
"with open('../../state_of_the_union.txt') as f:\n",
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" state_of_the_union = f.read()\n",
"text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
"texts = text_splitter.split_text(state_of_the_union)\n",
"\n",
"embeddings = OpenAIEmbeddings()"
]
},
{
"cell_type": "code",
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"execution_count": 3,
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"id": "5ec2b55b",
"metadata": {},
"outputs": [],
"source": [
"docsearch = FAISS.from_texts(texts, embeddings, metadatas=[{\"source\": i} for i in range(len(texts))])"
]
},
{
"cell_type": "code",
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"execution_count": 4,
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"id": "5286f58f",
"metadata": {},
"outputs": [],
"source": [
"query = \"What did the president say about Justice Breyer\"\n",
"docs = docsearch.similarity_search(query)"
]
},
{
"cell_type": "code",
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"execution_count": 5,
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"id": "005a47e9",
"metadata": {},
"outputs": [],
"source": [
"from langchain.chains.qa_with_sources import load_qa_with_sources_chain\n",
"from langchain.llms import OpenAI"
]
},
{
"cell_type": "markdown",
"id": "d82f899a",
"metadata": {},
"source": [
"## The `stuff` Chain\n",
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"\n",
"This sections shows results of using the `stuff` Chain to do question answering with sources."
]
},
{
"cell_type": "code",
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"execution_count": 6,
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"id": "fc1a5ed6",
"metadata": {},
"outputs": [],
"source": [
"chain = load_qa_with_sources_chain(OpenAI(temperature=0), chain_type=\"stuff\")"
]
},
{
"cell_type": "code",
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"execution_count": 7,
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"id": "7d766417",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'output_text': ' The president thanked Justice Breyer for his service.\\nSOURCES: 30-pl'}"
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]
},
"execution_count": 7,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"query = \"What did the president say about Justice Breyer\"\n",
"chain({\"input_documents\": docs, \"question\": query}, return_only_outputs=True)"
]
},
{
"cell_type": "markdown",
"id": "c5dbb304",
"metadata": {},
"source": [
"## The `map_reduce` Chain\n",
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"\n",
"This sections shows results of using the `map_reduce` Chain to do question answering with sources."
]
},
{
"cell_type": "code",
"execution_count": 8,
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"id": "921db0a4",
"metadata": {},
"outputs": [],
"source": [
"chain = load_qa_with_sources_chain(OpenAI(temperature=0), chain_type=\"map_reduce\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
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"id": "e417926a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'output_text': ' The president thanked Justice Breyer for his service.\\nSOURCES: 30-pl'}"
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]
},
"execution_count": 9,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"query = \"What did the president say about Justice Breyer\"\n",
"chain({\"input_documents\": docs, \"question\": query}, return_only_outputs=True)"
]
},
{
"cell_type": "markdown",
"id": "ae2f6d97",
"metadata": {},
"source": [
"**Intermediate Steps**\n",
"\n",
"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."
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "15af265f",
"metadata": {},
"outputs": [],
"source": [
"chain = load_qa_with_sources_chain(OpenAI(temperature=0), chain_type=\"map_reduce\", return_intermediate_steps=True)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "21b136e5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'intermediate_steps': [' \"Tonight, Id 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",
" ' None',\n",
" ' None',\n",
" ' None'],\n",
" 'output_text': ' The president thanked Justice Breyer for his service.\\nSOURCES: 30-pl'}"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"chain({\"input_documents\": docs, \"question\": query}, return_only_outputs=True)"
]
},
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{
"cell_type": "markdown",
"id": "5bf0e1ab",
"metadata": {},
"source": [
"## The `refine` Chain\n",
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"\n",
"This sections shows results of using the `refine` Chain to do question answering with sources."
]
},
{
"cell_type": "code",
"execution_count": 12,
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"id": "904835c8",
"metadata": {},
"outputs": [],
"source": [
"chain = load_qa_with_sources_chain(OpenAI(temperature=0), chain_type=\"refine\")"
]
},
{
"cell_type": "code",
"execution_count": 13,
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"id": "f60875c6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'output_text': \"\\n\\nThe president said that he was honoring Justice Breyer for his dedication to serving the country and that he was a retiring Justice of the United States Supreme Court. He also thanked him for his service and praised his career as a top litigator in private practice, a former federal public defender, and a family of public school educators and police officers. He noted Justice Breyer's reputation as a consensus builder and the broad range of support he has received from the Fraternal Order of Police to former judges appointed by Democrats and Republicans. He also highlighted the importance of securing the border and fixing the immigration system in order to advance liberty and justice, and mentioned the new technology, joint patrols, dedicated immigration judges, and commitments to support partners in South and Central America that have been put in place. He also expressed his commitment to the LGBTQ+ community, noting the need for the bipartisan Equality Act and the importance of protecting transgender Americans from state laws targeting them. He also highlighted his commitment to bipartisanship, noting the 80 bipartisan bills he signed into law last year, and his plans to strengthen the Violence Against Women Act. Additionally, he announced that the Justice Department will name a chief prosecutor for pandemic fraud and his plan to lower the deficit by more than one trillion dollars in a\"}"
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]
},
"execution_count": 13,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"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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]
},
{
"cell_type": "markdown",
"id": "ac357530",
"metadata": {},
"source": [
"**Intermediate Steps**\n",
"\n",
"We can also return the intermediate steps for `refine` chains, should we want to inspect them. This is done with the `return_intermediate_steps` variable."
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "3396a773",
"metadata": {},
"outputs": [],
"source": [
"chain = load_qa_with_sources_chain(OpenAI(temperature=0), chain_type=\"refine\", return_intermediate_steps=True)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "be5739ef",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'intermediate_steps': ['\\nThe president said that he was honoring Justice Breyer for his dedication to serving the country and that he was a retiring Justice of the United States Supreme Court. He also thanked Justice Breyer for his service.',\n",
" '\\n\\nThe president said that he was honoring Justice Breyer for his dedication to serving the country and that he was a retiring Justice of the United States Supreme Court. He also thanked Justice Breyer for his service, noting his background as a top litigator in private practice, a former federal public defender, and a family of public school educators and police officers. He praised Justice Breyer for being a consensus builder and for receiving a broad range of support from the Fraternal Order of Police to former judges appointed by Democrats and Republicans. He also noted that in order to advance liberty and justice, it was necessary to secure the border and fix the immigration system, and that the government was taking steps to do both. \\n\\nSource: 31',\n",
" '\\n\\nThe president said that he was honoring Justice Breyer for his dedication to serving the country and that he was a retiring Justice of the United States Supreme Court. He also thanked Justice Breyer for his service, noting his background as a top litigator in private practice, a former federal public defender, and a family of public school educators and police officers. He praised Justice Breyer for being a consensus builder and for receiving a broad range of support from the Fraternal Order of Police to former judges appointed by Democrats and Republicans. He also noted that in order to advance liberty and justice, it was necessary to secure the border and fix the immigration system, and that the government was taking steps to do both. He also mentioned the need to pass the bipartisan Equality Act to protect LGBTQ+ Americans, and to strengthen the Violence Against Women Act that he had written three decades ago. \\n\\nSource: 31, 33',\n",
" '\\n\\nThe president said that he was honoring Justice Breyer for his dedication to serving the country and that he was a retiring Justice of the United States Supreme Court. He also thanked Justice Breyer for his service, noting his background as a top litigator in private practice, a former federal public defender, and a family of public school educators and police officers. He praised Justice Breyer for being a consensus builder and for receiving a broad range of support from the Fraternal Order of Police to former judges appointed by Democrats and Republicans. He also noted that in order to advance liberty and justice, it was necessary to secure the border and fix the immigration system, and that the government was taking steps to do both. He also mentioned the need to pass the bipartisan Equality Act to protect LGBTQ+ Americans, and to strengthen the Violence Against Women Act that he had written three decades ago. Additionally, he mentioned his plan to lower costs to give families a fair shot, lower the deficit, and go after criminals who stole billions in relief money meant for small businesses and millions of Americans. He also announced that the Justice Department will name a chief prosecutor for pandemic fraud. \\n\\nSource: 20, 31, 33'],\n",
" 'output_text': '\\n\\nThe president said that he was honoring Justice Breyer for his dedication to serving the country and that he was a retiring Justice of the United States Supreme Court. He also thanked Justice Breyer for his service, noting his background as a top litigator in private practice, a former federal public defender, and a family of public school educators and police officers. He praised Justice Breyer for being a consensus builder and for receiving a broad range of support from the Fraternal Order of Police to former judges appointed by Democrats and Republicans. He also noted that in order to advance liberty and justice, it was necessary to secure the border and fix the immigration system, and that the government was taking steps to do both. He also mentioned the need to pass the bipartisan Equality Act to protect LGBTQ+ Americans, and to strengthen the Violence Against Women Act that he had written three decades ago. Additionally, he mentioned his plan to lower costs to give families a fair shot, lower the deficit, and go after criminals who stole billions in relief money meant for small businesses and millions of Americans. He also announced that the Justice Department will name a chief prosecutor for pandemic fraud. \\n\\nSource: 20, 31, 33'}"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"chain({\"input_documents\": docs, \"question\": query}, return_only_outputs=True)"
]
},
{
"cell_type": "markdown",
"id": "07ff756e",
"metadata": {},
"source": [
"## The `map-rerank` Chain\n",
"\n",
"This sections shows results of using the `map-rerank` Chain to do question answering with sources."
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "46b52ef9",
"metadata": {},
"outputs": [],
"source": [
"chain = load_qa_with_sources_chain(OpenAI(temperature=0), chain_type=\"map_rerank\", metadata_keys=['source'], return_intermediate_steps=True)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "7ce2da04",
"metadata": {},
"outputs": [],
"source": [
"query = \"What did the president say about Justice Breyer\"\n",
"result = chain({\"input_documents\": docs, \"question\": query}, return_only_outputs=True)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "cbdcd3c5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"' The President thanked Justice Breyer for his service and honored him for dedicating his life to serve the country.'"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result[\"output_text\"]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "6f0b3d03",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'answer': ' The President thanked Justice Breyer for his service and honored him for dedicating his life to serve the country.',\n",
" 'score': '100'},\n",
" {'answer': ' This document does not answer the question', 'score': '0'},\n",
" {'answer': ' This document does not answer the question', 'score': '0'},\n",
" {'answer': ' This document does not answer the question', 'score': '0'}]"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result[\"intermediate_steps\"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e66b8160",
"metadata": {},
"outputs": [],
"source": []
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}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.9"
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"vscode": {
"interpreter": {
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}
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"nbformat": 4,
"nbformat_minor": 5
}