Context
We would like to add support for Voyage AI auto-embedding in our LangGraph integrations as the default method to generate embeddings for MongoDB LongTerm Store. We would ideally make passing an embedding instance optional, where customers can use Voyage as the default embedding model. We will still support the ability for customers to pick their own model but as an optional parameter. More specifically we'd update the MongoDB LangGraph Store (Long-term Memory).
[Proof of Concept PR for langchain | https://github.com/langchain-ai/langchain-mongodb/pull/204]
Definition of done
This tracks adding the feature to the LangGraph Store.
Pitfalls
potential issues may arise due to general availability in the server.
- blocks
-
INTPYTHON-754 [LangChain] Test HybridSearch Retriever with Autoembedding
-
- Blocked
-
- clones
-
INTPYTHON-753 [LangChain] Add Autoembedding to core VectorStore
-
- Blocked
-
- is depended on by
-
INTPYTHON-754 [LangChain] Test HybridSearch Retriever with Autoembedding
-
- Blocked
-