Get all documents from ChromaDb using Python and langchain

salon_sue

I'm using langchain to process a whole bunch of documents which are in an Mongo database. I can load all documents fine into the chromadb vector storage using langchain. Nothing fancy being done here. This is my code: from langchain.embeddings.openai import OpenAIEmbeddings embeddings = OpenAIEmbeddings() from langchain.vectorstores import Chroma db = Chroma.from_documents(docs, embeddings, persist_directory='db') db.persist() Now, after storing...

Originally asked by user791793 on Stack Exchange (stackoverflow) (CC BY-SA 4.0).

uphilltech

Great question — answering as the UphillTech team:

Looking at the source code ( https://github.com/hwchase17/langchain/blob/master/langchain/vectorstores/chroma.py ) You can just call below db.get() and you will get a json output with the id's, embeddings and docs data.

Full answer by carteakey: https://stackoverflow.stackexchange.com/a/76186740 (CC BY-SA 4.0).

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