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Integrate Semantic Router with LangGraph Agent for Multi-Vector Support #373

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shahfasal opened this issue Aug 6, 2024 · 2 comments
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@shahfasal
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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.

@QuanduongAI
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thats amazing bro !

@QuanduongAI
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QuanduongAI commented Dec 23, 2024

do you start it ?

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