rag-implementation

github:wshobson/agents · first committed 2025-10-17 · source · badge

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

Skill Health 100 (freshness and quality) estimated by backskills

Listed, not yet scored. This skill has no public model test yet. It is in the scoring queue; submitted skills go first, then the most-installed.

Freshness 100 · Quality 100 · Efficacy not yet tested

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7 commits to this file on GitHub (newest first).

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