Build your production-grade RAG in minutes.
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Krux AI's RAGBuilder

Build your production-grade RAG in minutes.

Live preview
Krux AI's RAGBuilder is a toolkit that helps you build Production-grade RAG (Retrieval Augmented Generation) setup in minutes instead of weeks. Given a dataset, it uses Bayesian optimization to figure out the optimal setup for ingestion & retrieval strategies and shows which combination is best across cost, latency & accuracy.

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  • Krux AI's RAGBuilder
  • Krux AI's RAGBuilder
  • Krux AI's RAGBuilder
  • Krux AI's RAGBuilder
  • Krux AI's RAGBuilder

Comments, support and feedback

  • Aravind Parameswaran
    8 days ago

    Thanks @DhirenMathur, we support most of the popular databases: Chroma, FAISS, Qdrant, Weaviate, Milvus, pgvector, etc. In addition, we also support neo4j for Graph DB. Curious if you are you looking for a specific DB integration?

  • Dhiren Mathur
    10 days ago

    Looks super cool, what databases do you guys support?

  • DK
    10 days ago

    Ragbuilder has saved me weeks of work and hundreds of dollars

  • Aravind Parameswaran
    18 days ago

    Hi @wladradchenko, yes, actually the finished product is here: github.com/KruxAI/ragbuilder Had created the devhunt listing way back when it wasn't ready and I didn't get a chance to update the listing before the launch date unfortunately.

  • Wladislav Radchenko
    19 days ago

    This looks interesting! Is this a finished product or just a preview of what's to come? I see some initial results, but I’m curious about the overall functionality. What’s the story behind this tool?

About this launch

Krux AI's RAGBuilder was launched by Aravind Parameswaran in November 12th 2024.

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