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A framework for building applications powered by large language models through composable chains and agents.

A data framework for building LLM applications over custom data with flexible ingestion, indexing, and querying.

Run large language models locally on your own machine with a simple CLI and OpenAI-compatible API.

A self-hosted ChatGPT-style web interface for running and chatting with local or remote LLMs.

Microsoft's framework for building multi-agent AI systems where agents converse with each other to solve tasks.

A role-based AI agent framework where you define a crew of agents with specific roles, goals, and tools.

An AI-native open-source vector database for storing and querying embeddings with a simple Python API.

A high-performance vector database written in Rust, built for production RAG and similarity search at scale.

An open-source LLM app development platform with a visual workflow builder, RAG pipeline, and agent tools.

A low-code drag-and-drop UI for building LLM chains and agents, built on top of LangChain.

A private, self-hosted ChatGPT that lets you chat with your own documents using any LLM.

A production-grade NLP framework for building RAG pipelines, question answering, and semantic search systems.