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https://github.com/hwchase17/langchain.git
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fix stuff count (#1083)
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@@ -214,6 +214,78 @@
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"result['answer']"
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]
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},
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{
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"cell_type": "markdown",
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"id": "908c00e2",
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"metadata": {},
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"source": [
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"## Chat Vector DB with `map_reduce`\n",
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"We can also use different types of combine document chains with the Chat Vector DB chain."
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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": "06d91167",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.chains import LLMChain\n",
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"from langchain.chains.question_answering import load_qa_chain\n",
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"from langchain.chains.chat_vector_db.prompts import CONDENSE_QUESTION_PROMPT"
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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": "1711d3b4",
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"metadata": {},
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"outputs": [],
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"source": [
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"llm = OpenAI(temperature=0)\n",
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"question_generator = LLMChain(llm=llm, prompt=CONDENSE_QUESTION_PROMPT)\n",
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"doc_chain = load_qa_chain(llm, chain_type=\"map_reduce\")\n",
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"\n",
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"chain = ChatVectorDBChain(\n",
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" vectorstore=vectorstore,\n",
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" question_generator=question_generator,\n",
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" combine_docs_chain=doc_chain,\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": 10,
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"id": "375b33ef",
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"metadata": {},
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"outputs": [],
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"source": [
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"chat_history = []\n",
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"query = \"What did the president say about Ketanji Brown Jackson\"\n",
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"result = chain({\"question\": query, \"chat_history\": chat_history})"
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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": "ca48ff74",
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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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"\" The president said that Ketanji Brown Jackson is one of the nation's top legal minds, a former top litigator in private practice, a former federal public defender, from a family of public school educators and police officers, a consensus builder, and has received a broad range of support from the Fraternal Order of Police to former judges appointed by Democrats and Republicans.\""
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]
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},
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"execution_count": 11,
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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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"result['answer']"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2324cdc6-98bf-4708-b8cd-02a98b1e5b67",
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@@ -293,14 +365,6 @@
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"query = \"Did he mention who she suceeded\"\n",
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"result = qa({\"question\": query, \"chat_history\": chat_history})"
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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": "a7ea93ff-1899-4171-9c24-85df20ae1a3d",
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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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@@ -319,7 +383,7 @@
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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": "3.10.9"
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"version": "3.9.1"
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}
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},
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"nbformat": 4,
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