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Just dropped ragbits v1.0 and create-ragbits-app – spin up a RAG app in minutes

https://github.com/deepsense-ai/ragbits
3•mhordynski•1d ago

Comments

mhordynski•1d ago
Hi all,

Today we’re releasing ragbits v1.0.0 along with a brand new CLI template: create-ragbits-app — a project starter to go from zero to a fully working RAG application.

RAGs are everywhere now. You can roll your own, glue together SDKs, or buy into a SaaS black box. We’ve tried all of these — and still felt something was missing: standardization without losing flexibility.

So we built ragbits — a modular, type-safe, open-source toolkit for building GenAI apps. It’s battle-tested in 7+ real-world projects, and it lets us deliver value to clients in hours.

And now, with create-ragbits-app, getting started is dead simple:

uvx create-ragbits-app

Pick your vector DB (Qdrant and pgvector templates ready — Chroma supported, Weaviate coming soon)

Plug in any LLM (OpenAI wired in, swap out with anything via LiteLLM)

Parse docs with either Unstructured or Docling

Optional add-ons:

    - Hybrid search (fastembed sparse vectors)
    - Image enrichment (multimodal LLM support)
    - Observability stack (OpenTelemetry, Prometheus, Grafana, Tempo)

 Comes with a clean React UI, ready for customization
Whether you're prototyping or scaling, this stack is built to grow with you — with real tooling, not just examples.

Source code: https://github.com/deepsense-ai/ragbits

Would love to hear your feedback or ideas — and if you’re building RAG apps, give create-ragbits-app a shot and tell us how it goes

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