H
haystack
deepset-ai/haystack
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.
★26.1kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
Tap to expand
What's this?A open-source Data & Infrastructure project, built with Python, focusing on agent-framework and agentic-ai
Who made it?Maintained by deepset-ai team, 26.1K⭐ on GitHub, #66 out of 3133 in Data & Infrastructure
Why does it exist?With the growing demand for agent-framework and agentic-ai in Data & Infrastructure, deepset-ai created haystack as a streamlined solution.
What can it do?Key use cases: agentic-rag, agents, ai-agents
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/deepset-ai/haystack | 官网 https://haystack.deepset.ai
🔗 github.com/deepset-ai/haystack | 官网 https://haystack.deepset.ai
Topics
agent-frameworkagentic-aiagentic-ragagentsaiai-agentscontext-engineeringframeworkgenaigenerative-aiinformation-retrievallarge-language-modelsllmmcpmulti-agentorchestrationpythonragretrieval-augmented-generationsemantic-search