Showing 5 open source projects for "vector library"

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    Qdrant

    Qdrant

    Vector Database for the next generation of AI applications

    Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language.
    Downloads: 38 This Week
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  • 2
    LangChain Rust

    LangChain Rust

    LangChain for Rust, the easiest way to write LLM-based programs

    ...The library provides abstractions for model providers, prompt templates, conversation memory, and vector search integrations. It also enables the construction of multi-step pipelines where LLM outputs feed into subsequent actions or tool calls.
    Downloads: 0 This Week
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  • 3
    Rivet

    Rivet

    Visual AI IDE for building agents with prompt chains and graphs

    Rivet is an open source visual AI programming environment designed to help developers build complex AI agents using a node-based interface and prompt chaining workflows. It provides a desktop application that allows users to visually construct and debug AI logic as interconnected graphs, making it easier to manage sophisticated interactions between language models and external tools. Rivet also includes a TypeScript library that enables these visual graphs to be executed and integrated...
    Downloads: 2 This Week
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  • 4
    printpdf

    printpdf

    Rust / WASM library for reading, writing and rendering PDF

    printpdf is a Rust library for creating, reading, writing, and rendering PDF documents, providing developers with fine-grained control over document generation and layout. It supports a wide range of PDF features, including pages, layers, annotations, vector graphics, images, and embedded fonts, allowing the creation of complex and professional documents.
    Downloads: 0 This Week
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  • 5
    hora

    hora

    Efficient approximate nearest neighbor search algorithm collections

    hora is an open-source high-performance vector similarity search library designed for large-scale machine learning and information retrieval systems. The project focuses on approximate nearest neighbor search, a fundamental technique used in modern AI applications such as recommendation systems, image search, and semantic search engines. Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning models. ...
    Downloads: 0 This Week
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