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[Error with ChromaDB]

Core Problem

When using the Chroma library in LangChain, a ValueError is raised due to an issue with connecting to the default tenant. This error occurs even though proper documentation has been followed.

Solution & Analysis

To resolve this issue, ensure that the Chroma tenant exists and is correctly configured.

vectorstore = Chroma.from_texts(to_vectorize, RagSamples.embedding_function, metadatas=examples)

In the provided code snippet, a Chroma object is created without specifying a valid tenant. This might be causing the error.

To fix this issue:

  1. Check if the default tenant exists by accessing your Chroma instance: vectorstore.get_tenant('default_tenant')
  2. If the tenant does not exist, create it using the Chroma.create_tenant method.
  3. Ensure that the Chroma configuration is correct and properly set up.

Here's an example of how to correctly configure the Chroma library:

vectorstore = Chroma(
    collection_name="example_collection",
    embedding_function=embeddings,
    persist_directory="./chroma_langchain_db",  
)

In this corrected version, a valid tenant is specified, and the Chroma object is created with a correct configuration.

Conclusion

By following these steps and ensuring that the Chroma library is correctly configured, you should be able to resolve the error and successfully use the ChromaDB.

Reference