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 the data, I want to get a list of all the documents and embeddings WITH id's. This is so I can store them back into MongoDb. I also want to put them through Bertopic to get the topic categories. How do I get all documents I've just stored in the Chroma database? I want the documents, and all the metadata. Continue reading...
