semantic-search

21 Lessons, Get Started Building with Generative AI

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

A lightweight, lightning-fast, in-process vector database

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

Incremental engine for long horizon agents 🌟 Star if you like it!

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Graph-Native Infrastructure for Context and Accountable AI Systems

One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Open-source context retrieval layer for AI agents

Find related notes and excerpts while writing. Your link building copilot displays relevant content in graph + list view. A local embedding model powers semantic search. Zero setup. No API key.

Superduper: End-to-end framework for building custom AI applications and agents.