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Added .as_retriever() to from_llm() calls (#2051)

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Krulknul
2023-03-28 00:04:03 +02:00
committed by GitHub
parent 880a6a3db5
commit 5e91928607
1 changed files with 3 additions and 3 deletions
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6
docs/modules/chains/index_examples/chat_vector_db.ipynb
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@@ -121,7 +121,7 @@
},
"outputs": [],
"source": [
"qa = ConversationalRetrievalChain.from_llm(OpenAI(temperature=0), vectorstore)"
"qa = ConversationalRetrievalChain.from_llm(OpenAI(temperature=0), vectorstore.as_retriever())"
]
},
{
@@ -230,7 +230,7 @@
"metadata": {},
"outputs": [],
"source": [
"qa = ConversationalRetrievalChain.from_llm(OpenAI(temperature=0), vectorstore, return_source_documents=True)"
"qa = ConversationalRetrievalChain.from_llm(OpenAI(temperature=0), vectorstore.as_retriever(), return_source_documents=True)"
]
},
{
@@ -292,7 +292,7 @@
"metadata": {},
"outputs": [],
"source": [
"qa = ConversationalRetrievalChain.from_llm(OpenAI(temperature=0), vectorstore, return_source_documents=True)\n",
"qa = ConversationalRetrievalChain.from_llm(OpenAI(temperature=0), vectorstore.as_retriever(), return_source_documents=True)\n",
"chat_history = []\n",
"query = \"What did the president say about Ketanji Brown Jackson\"\n",
"result = qa({\"question\": query, \"chat_history\": chat_history, \"vectordbkwargs\": vectordbkwargs})"