#embeddings

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

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

LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain

The best-benchmarked open-source AI memory system. And it's free.

QVAC - Local AI SDK and libraries for building private, cross-platform, peer-to-peer AI applications. Run LLMs, speech-to-text, translation, and more locally on Linux, macOS, Windows, Android, and iOS.

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

The shared AI foundation for TYPO3 — one LLM setup for every extension on your site

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Mock everything your AI app talks to — LLM APIs, MCP, A2A, AG-UI, vector DBs, search. One package, one port, zero dependencies.

Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

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

Rust library for generating vector embeddings, reranking locally!

Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

A unified interface for various AI model providers

A typescript library for connecting videos in your Mux account to multi-modal LLMs.