RagOrchestrator

RagOrchestrator (PyPI: rag-orchestrator) is an open-source Python RAG orchestration tool that gives developers a lightweight, modular retrieval-augmented generation layer without heavy framework overhead. It ships an abstract storage layer with support for SQLite, PGVector, and Qdrant, so you can swap vector backends without rewriting your core system. The orchestration runtime adds micro-batching and an in-process gatekeeper queue for low-latency, multi-user RAG, plus a built-in agent runtime, a FastAPI-based REST API, and a web UI for monitoring. It is fully pluggable: you can plug in your own embeddings, retrievers, cleaners, and processing logic while keeping LLM usage minimal. Under the hood it builds on FastAPI, Pydantic v2, AnyIO, and Uvicorn, requires Python 3.8+, and works in offline, CPU/GPU-constrained environments. It is an early-stage release (v0.1.1) authored by pkbythebay29 and published under the MIT license on PyPI. Pricing is not published as a paid product — it installs free via pip (pip install rag-orchestrator), though the source repo notes a non-commercial clause for some use, so verify the license before commercial deployment.

Python developers use RagOrchestrator to build lightweight, modular RAG pipelines with swappable SQLite, PGVector, or Qdrant vector backends and pluggable embeddings.