Integrate Semantic Router with LangGraph Agent for Multi-Vector Support

[shahfasal]

I propose integrating the Semantic Router with the LangGraph agent to support multi-vector queries, enhancing search accuracy, efficiency, and scalability. This integration is detailed in my blog post, "Transforming Search: AI Agents and Multi-Vector Intelligence", where I also provide a demonstration code.

Key Benefits:

Improved Accuracy: Leverage multiple vector databases for more relevant results. Increased Efficiency: Parallel querying across databases reduces response time. Scalability: Easily add or modify vector databases as needed. Implementation:

Modify LangGraph agent for multi-vector support. Develop a query distribution and aggregation mechanism. Implement hallucination detection in results.

I would like to add this integration as an example in the project's examples section to showcase its practical benefits.

Looking forward to feedback and collaboration from the community.