Convex Agents RAG
CommunityGround agents with knowledge-backed responses.
Software Engineering#rag#agents#convex#retrieval-augmented generation#semantic-search#knowledge-base
AuthorSstobo
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Agents often need to provide accurate, context-grounded answers by searching through documents and knowledge bases. This Skill enables retrieval-augmented generation for AI agents.
Core Features & Use Cases
- RAG integration with Convex Agents: semantic search over namespace content, context grounding, and knowledge-base querying.
- Use Cases: support docs, policies, product FAQs; chat agents that answer with sourced context.
Quick Start
Ingest documents into a namespace and configure your agent to leverage rag for contextual responses.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Convex Agents RAG Download link: https://github.com/Sstobo/convex-skills/archive/main.zip#convex-agents-rag Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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