Using Llamafiles for Embeddings in Local RAG Applications

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • BinaryVectorDB

    Efficient vector database for hundred millions of embeddings.

  • This style of embeddings could be quite lightweight/cheap/efficient https://github.com/cohere-ai/BinaryVectorDB

  • ollama

    Get up and running with Llama 3, Mistral, Gemma, and other large language models.

  • Could you sidestep inference altogether? Just return the top N results by cosine similarity (or full text search) and let the user find what they need?

    https://ollama.com models also works really well on most modern hardware

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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