A multi-agent PDF question-answering system using LlamaIndex with function-calling agents. Features dual-retriever (BM25 + Vector) search, property graph indexing, and a Researcher → Writer agent workflow for accurate, grounded document answers.
function-agent-rag is a Claude Code agent skill that a multi-agent PDF question-answering system using LlamaIndex with function-calling agents. Features dual-retriever (BM25 + Vector) search, property graph indexing, and a Researcher → Writer agent workflow for accurate, grounded document answers.
npx skills add jilanikashif375/function-agent-ragInstalled? Explore more 라이팅 & 에디팅 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
A multi-agent PDF question-answering system using LlamaIndex with function-calling agents. Features dual-retriever (BM25 + Vector) search, property graph indexing, and a Researcher → Writer agent workflow for accurate, grounded document answers.
Source: https://github.com/jilanikashif375/function-agent-rag
Discovered from GitHub repositories pushed in the last 24 hours for agent skills, Claude/Codex/Gemini workflows, MCP tooling, and adjacent AI-agent automation.
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