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How to integrate with semantic vector-based search?

Open chuck-ma opened this issue 8 months ago • 3 comments

In the document, make the AI model choose which document to use based on the information list of the document. The problem is that some important information may not be in the summary of the document object. It is necessary to first perform a screening through semantic vector - based search to obtain the appropriate document tree. Is there any best practice here?

chuck-ma avatar Apr 25 '25 07:04 chuck-ma

Hi, thanks for your interest. We will have an article and also API released this week to introduce how to integrate the semantic search in our reasoning-based RAG pipeline. I will keep you updated.

zmtomorrow avatar May 01 '25 05:05 zmtomorrow

Hi, our article about how to integrate vector-based search and reasoning-based can be found here: https://pageindex.vectify.ai/examples/hybrid-rag. Please let me know if anything is unclear or missing in the article.

Thanks!

zmtomorrow avatar May 01 '25 10:05 zmtomorrow

@zmtomorrow Hi, the link is broken, please update it.

AlexSKuznetsov avatar Oct 06 '25 05:10 AlexSKuznetsov