SemanticScuttle - klotz.me

klotz: retrieval-augmented generation* + embeddings*

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11. Advanced RAG Techniques

    This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

    2024-08-01 Tags: rag, nlp, machine learning, information retrieval, natural language processing, llm, embeddings, semantic search by klotz
12. timescale/pgai: pgai on GitHub

    pgai brings AI workflows to your PostgreSQL database. It simplifies the process of building search and Retrieval Augmented Generation (RAG) AI applications with PostgreSQL by bringing embedding and generation AI models closer to the database.

    2024-06-21 Tags: pgai, postgresql, ai, database, embeddings, generation, rag, openai, ollama by klotz
13. Using Llamafiles for Embeddings in Local RAG Applications

    A blog post discussing the use of Llamafiles for embeddings in Retrieval-Augmented Generation (RAG) applications and recommending the best models based on performance on RAG-relevant tasks.

    2024-05-17 Tags: llamafiles, embeddings, rag, text embedding models, llm by klotz

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