# setup Chroma in-memory, for easy prototyping. Can add persistence easily! client = chromadb.Client() # Create collection. get_collection, get_or_create_collection, delete_collection also available!
collection = client.create_collection("all-my-documents") # Add docs to the collection. Can also update and delete. Row-based API coming soon!
collection.add( documents=["This is document1", "This is document2"], # we handle tokenization, embedding, and indexing automatically. You can skip that and add your own embeddings as well metadatas=[{"source": "notion"}, {"source": "google-docs"}], # filter on these! ids=["doc1", "doc2"], # unique for each doc ) # Query/search 2 most similar results. You can also .get by id results = collection.query( query_texts=["This is a query document"], n_results=2, # where={"metadata_field": "is_equal_to_this"}, # optional filter # where_document={"$contains":"search_string"} # optional filter ) print(results)
