Showing 2 open source projects for "semantic"

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    turbovec

    turbovec

    A vector index built on TurboQuant, written in Rust with Python

    ...It avoids a separate training phase for the quantizer, which can simplify setup compared with systems that require codebook learning. TurboVec is useful for developers building retrieval, ranking, semantic search, recommendation, or AI memory systems. Its main value is combining Rust performance with a Python-facing workflow for modern vector search experiments and applications.
    Downloads: 2 This Week
    Last Update:
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  • 2
    rag-search

    rag-search

    RAG Search API

    rag-search is a lightweight Retrieval-Augmented Generation API service designed to provide structured semantic search and answer generation through a simple FastAPI backend. The project integrates web search, vector embeddings, and reranking logic to retrieve relevant context before passing it to a language model for response generation. It is built to be easily deployable, requiring only environment configuration and dependency installation to run a functional RAG service.
    Downloads: 0 This Week
    Last Update:
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