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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.
The text was updated successfully, but these errors were encountered:
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.
The text was updated successfully, but these errors were encountered: