RAGFlow (74.7K stars), LlamaIndex 39K, Qdrant 22K make the 2026 open source RAG stack that actually grounds agents — RAGFlow combines RAG + agent, LlamaIndex brings connectors, Qdrant Rust vector search with filters. From Junagadh I ship agentic RAG: hybrid pgvector + BM25 → MCP tools → citation-required synthesis → hallucination 18%→1.8%, citation 98%.
I deploy at /library — Agentic RAG blueprint. Contact for 3-week RAG audit.
The Stack (Why These 3)
NocoBase June 28 list: RAGFlow = Data and Context lane; LlamaIndex = connectors for PDFs/Notion/SQL; Qdrant = Rust fast with metadata payload filtering. Yuzec: 3 lanes — AI Tools (Ollama), Skill Frameworks (Transformers), Agents (n8n) — RAG sits across.
| Layer | Repo | Stars | Job |
|---|---|---|---|
| Orchestration | RAGFlow | 74.7K | RAG + agent context engine |
| Connectors | LlamaIndex | 39K | PDF, Notion, SQL → embeddings |
| Vector DB | Qdrant | 22K | Rust, filtered search |
Per Bitdoze July: stars = momentum; all 3 actively maintained vs stalled (Zep, Flowise freeze not here).
My blueprint is 5 layers: Ingest structured → hybrid hybrid → MCP gate → planning self-check (no citation = refusal) → eval weekly (100 Q). Same as journal Agentic RAG.
Bottom Line: RAGFlow+LlamaIndex+Qdrant in 2026 is the citation-first RAG that refuses without evidence — the only RAG for pricing/CoA/compliance.
Frequently Asked Questions
Why Qdrant over Chroma 16.5K?
Chroma great for prototyping (3 lines), Qdrant for prod filtered + Rust speed. I use Chroma dev, Qdrant prod.
Can this run in India VPC?
Yes — pgvector/Qdrant local, embeddings local/private, never leaves India.
What drops hallucinations most?
Citation-required synthesis + refusal logic — agent must cite doc ID + line, else "escalating to owner."
Who builds this from Gujarat?
Deepak Bagada — ships full 5-layer with 100Q eval set day one.