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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 alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

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

Graph-Native Infrastructure for Context and Accountable AI Systems

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

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

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.

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

Open-source inference server and production cluster for all the models your agent needs.

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

The no-code platform for building custom LLM Agents

Bookmark manager for the wizards 🧙

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

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Research project. A Memory solution for users, teams, and applications.