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Zaman commited on
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6fbddc0
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1 Parent(s): 59b9bf8

changed embeddings and updated bot.py

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Files changed (14) hide show
  1. .gitattributes +1 -0
  2. apple_amazon_intel_db/index/index_8f095a90-6d97-4fdf-9d51-9b5f73967d45.bin +0 -3
  3. bot.py +2 -2
  4. db_index/chroma-collections.parquet +0 -3
  5. db_index/index/id_to_uuid_c058f88c-340a-4016-92e2-428db1eee8d3.pkl +0 -3
  6. db_index/index/index_c058f88c-340a-4016-92e2-428db1eee8d3.bin +0 -3
  7. db_index/index/index_metadata_c058f88c-340a-4016-92e2-428db1eee8d3.pkl +0 -3
  8. db_index/index/uuid_to_id_c058f88c-340a-4016-92e2-428db1eee8d3.pkl +0 -3
  9. {apple_amazon_intel_db → openai_embeddings}/chroma-collections.parquet +1 -1
  10. {db_index → openai_embeddings}/chroma-embeddings.parquet +2 -2
  11. apple_amazon_intel_db/index/id_to_uuid_8f095a90-6d97-4fdf-9d51-9b5f73967d45.pkl → openai_embeddings/index/id_to_uuid_8cd9a0f1-d432-45ef-acbc-f9b2f4b928f3.pkl +2 -2
  12. apple_amazon_intel_db/chroma-embeddings.parquet → openai_embeddings/index/index_8cd9a0f1-d432-45ef-acbc-f9b2f4b928f3.bin +2 -2
  13. apple_amazon_intel_db/index/index_metadata_8f095a90-6d97-4fdf-9d51-9b5f73967d45.pkl → openai_embeddings/index/index_metadata_8cd9a0f1-d432-45ef-acbc-f9b2f4b928f3.pkl +2 -2
  14. apple_amazon_intel_db/index/uuid_to_id_8f095a90-6d97-4fdf-9d51-9b5f73967d45.pkl → openai_embeddings/index/uuid_to_id_8cd9a0f1-d432-45ef-acbc-f9b2f4b928f3.pkl +2 -2
.gitattributes CHANGED
@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  apple_amazon_intel_db/* filter=lfs diff=lfs merge=lfs -text
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  db_index/* filter=lfs diff=lfs merge=lfs -text
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  db_index filter=lfs diff=lfs merge=lfs -text
 
 
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  apple_amazon_intel_db/* filter=lfs diff=lfs merge=lfs -text
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  db_index/* filter=lfs diff=lfs merge=lfs -text
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  db_index filter=lfs diff=lfs merge=lfs -text
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+ openai_embeddings/* filter=lfs diff=lfs merge=lfs -text
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bot.py CHANGED
@@ -11,13 +11,13 @@ from langchain.memory import ConversationBufferWindowMemory
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  # ConversationalRetrievalChain()
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- persist_direcory = "db_index"
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  embeddings = OpenAIEmbeddings()
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  # db = FAISS.load_local(persist_directory, embeddings)
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  chroma = Chroma(embedding_function=embeddings, persist_directory=persist_direcory)
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  # retriever = chroma.as_retriever(search_type="mmr", search_kwargs={"k": 10})
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- retriever = chroma.as_retriever(search_kwargs={"k": 10})
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  query = "what were the net sales of aws in the first quarter of 2023?"
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  print(retriever.get_relevant_documents(query))
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  # ConversationalRetrievalChain()
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+ persist_direcory = "openai_embeddings"
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  embeddings = OpenAIEmbeddings()
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  # db = FAISS.load_local(persist_directory, embeddings)
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  chroma = Chroma(embedding_function=embeddings, persist_directory=persist_direcory)
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  # retriever = chroma.as_retriever(search_type="mmr", search_kwargs={"k": 10})
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+ retriever = chroma.as_retriever(search_kwargs={"k": 15})
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  query = "what were the net sales of aws in the first quarter of 2023?"
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  print(retriever.get_relevant_documents(query))
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