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Story

Pruning RAG context down to what the answer actually needs

1 report

1 website

1 discussion

Latest report

Overview

Kapa.ai has developed a method to prune 68% of irrelevant context from their retrieval-augmented generation (RAG) system while maintaining 96% recall accuracy. Their AI assistants utilize a retrieval API to access and process information from extensive product knowledge bases, including technical documentation and support threads.

Summary from kapa.ai.

Reports

One report so far. Additional coverage will appear here when it is linked to this story.

  1. kapa.ai

    Pruning RAG context down to what the answer actually needs

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Community reactions

Each reaction summarizes sampled comments from the linked discussion.

Hacker News · kapa.ai

Pruning RAG context down to what the answer actually needs ↗
Hacker News discussion ↗

Historical count: 4 · 4 saved in sample · Historical sample

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