Complete the code to import the Chroma vector store from LangChain.
from langchain_community.vectorstores import [1]
The Chroma vector store is imported from langchain_community.vectorstores as Chroma.
Complete the code to create a Chroma vector store instance with an embedding function.
vectordb = Chroma(embedding_function=[1])The embedding_function parameter expects an embedding model like OpenAIEmbeddings().
Fix the error in the code to specify the persist directory for Chroma storage.
vectordb = Chroma(embedding_function=OpenAIEmbeddings(), persist_directory=[1])The persist_directory must be a string path like './db' to save the vector store data.
Fill both blanks to create a Chroma vector store with embeddings and persist directory.
vectordb = Chroma(embedding_function=[1], persist_directory=[2])
The embedding function should be OpenAIEmbeddings() and the persist directory a string path like './chroma_db'.
Fill all three blanks to initialize Chroma with embeddings, persist directory, and collection name.
vectordb = Chroma(embedding_function=[1], persist_directory=[2], collection_name=[3])
Use OpenAIEmbeddings() for embeddings, a string path like './chroma_persist' for persistence, and a string name like 'my_collection' for the collection.