Showing 1-14 of 14 projects
High-performance vector database for AI apps
Faiss is a library for efficient similarity search and clustering of dense vectors, supporting CPU and GPU acceleration.
Opiniated RAG for GenAI integration in apps
RAG & Agent app for LLMs with local knowledge base support
A Rust-based memory layer for AI agents, enabling serverless, single-file memory with instant retrieval and long-term storage.
A Python library for efficient RAG (Retrieval-Augmented Generation) applications with AI-powered vector database and private storage.
Build and auto-optimize LLM applications with AdalFlow, a Python library.
Open-source C++ library for fast, approximate nearest-neighbor search and clustering of vectors and objects
This repository provides advanced techniques and cookbooks for building Retrieval-Augmented Generation (RAG) systems.
Scalable, low-latency vector search in Postgres, revolutionizing vector search and databases.
A C++ SQLite extension that provides efficient vector search capabilities using the Faiss library.
A developer-focused platform for text-to-speech, RAG, and LLMs, with local-first architecture.
A free, private DeepSeek RAG chatbot with hybrid retrieval, neural reranking, and HyDe for boosting chatbot performance.
Python SDK for Milvus, a high-performance vector database for building AI/ML applications.
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