hybrid-search

21 Projekte teilen dieses GitHub-Topic

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The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector,…

The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and…

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown…

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible)…

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise…

RAG Time: A 5-week Learning Journey to Mastering RAG

Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search…

The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built…

ai-powered-search

The codebase for the book "AI-Powered Search" (Manning Publications, 2025) and associated "AI-Powered Search:…

Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP…

Local RAG MCP server for Claude Code — hybrid search (semantic + BM25), cross-encoder reranking, 13 MCP…

Pharos — local-first agentic RAG for your team's document library: multi-format ingest, hybrid retrieval,…

Fast, AI-agent-native code search in Rust — hybrid BM25 + semantic, Tree-sitter AST chunking, dependency &…

On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG…

Writ keeps AI coding on your rules. It feeds Claude Code the right coding standards for each task in under a…

VectorRAG.Net is a .NET-native high-performance vector database library for semantic search and RAG…

Find, connect, rediscover your notes — a local-first second brain for Obsidian. Semantic search with strong…

Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone,…

World's fastest and most compact embedded vector database: exact by default, multimodal, local-first, and…

Turn scattered knowledge, operational data, and history into source-linked context that your agents can…

🔗 Verwandte Familien

semantic-search 92 vector-database 91 vector-search 61 embeddings 105 retrieval-augmented-generation 108 bm25 17 full-text-search 8 search-engine 18

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