SUMMARY AI summary by gpt-5-mini
A multi-agent system template that orchestrates LLM workflows with LangGraph, routing queries automatically to either a direct chat LLM or a full pipeline (planner → researcher → critic → writer). It’s intended for developers and researchers building multi-agent LLM apps or RAG-enabled assistants. Key features: - Automatic routing: chat vs pipeline selection with streamed token responses. - Pipeline components: RAG via Qdrant, external MCP tools run in parallel (Brave Search supported; registry for adding tools). - Multi-source ingestion: plain text, file upload (PDF/DOCX/TXT), URL, batch ingestion. - Streaming via WebSocket with Redis pub/sub; REST and WebSocket API served by FastAPI; Next.js 14 frontend. - Persistence: PostgreSQL; containerized with Docker Compose; cloud deployment examples (Railway, Vercel, Qdrant Cloud). - Tests included (78 passing). Quickstart and API endpoints provided.
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GitHub Topics
Language breakdown (by bytes)
Owner
Data Scientist / IA / Automatisation
Dates
| Created on GitHub | 2026-05-15 |
| Last push | 2026-05-16 |
| First seen here | 2026-05-15 |
| Last fetched | 2026-05-16 18:20 |
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