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I'm building an API that allows you to train semantic search for RAGs

When your embedding provider is good, but could be better for your use-case.

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  1. Boomerang

    vectara.com

    a new embedding model for RAG and semantic search

    Hacker News18점

  2. An Embedding-Based Search Service over ShowHN

    payperrun.com

    AskHN, GitHub, More

    Hacker News7점

  3. Rag Framework

    github.com

    🚀 Scale your RAG pipeline using Ragswift: A scalable centralized embeddings management platform

    Hacker News5점

  4. Model2vec

    github.com

    Lightning-fast Static Embeddings for RAG/Semantic Search

    Hacker News28점

  5. Playground for comparing embedding models on Wikipedia+book retrieval

    embeds.ai

    Introducing embeds.ai: an embedding playground to compare how embedding models work on a real world use case (retrieval augmented generation for Wikipedia articles + Elad Gil's High growth handbook) A few weeks ago, Shreyan and I were looking for an embedding model to use for RAG.

    Hacker News5점