Use Case

As a... MongoDB user interested in leveraging LangChain to streamline the development of embeddings for vector search in my application,
I want... to see examples of how to use MongoDB's auto embedding feature,
So that... I can easily get started building.

User Experience

• The user will browse LangChain's documentation, navigate to the MongoDB's integration page, and see a clear example of how to implement it with and without Auto Embeddings.

Dependencies

• Auto Embeddings are currently only available in MongoDB 8.2 Community Edition.
• Need to file a PR against LangChain's doc repo: https://github.com/langchain-ai/docs.
  • This is the folder containing the source code the MongoDB Integration Docs: https://github.com/langchain-ai/docs/tree/main/src/oss/javascript/integrations/vectorstores

Risks/Unknowns

• n/a

Acceptance Criteria

Implementation Requirements

• Update MongoDB's example in LangChain's Vector Store Integration's Docs (this page) to showcase both, using MongoDB with and without Auto Embeddings.

Testing Requirements

• Adhere to LangChain's contribution guidelines

Documentation Requirements

• n/a

Follow Up Requirements

• n/a