by deepset-ai · MCP 服务器 · ★ 26.8k
🎉🎊✨ Haystack 3.0 is out! ✨🎊🎉 Read the announcement here! 🥳 🎈 🎆 🪅 🎇 🍾 🥂 🎁 🌈 Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Build scalable RAG systems, multimodal applications, semantic search, question answering, and autonomous agents, all in a transparent architecture that lets you experiment, customize deeply, and deploy with confidence.
| Stars | 26,774 |
| Forks | 3,307 |
| Language | Python |
| Category | MCP 服务器 |
| License | Apache-2.0 |
| Quality Score | 62.9817129585272/100 |
| Open Issues | 153 |
| Last Updated | 2026-10-19 |
| Created | 2019-11-14 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
These tools work well together with haystack for enhanced workflows:
Explore other popular mcp 服务器 tools:
haystack is 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, m. It is categorized as a MCP 服务器 with 26.8k GitHub stars.
haystack is primarily written in Python. It covers topics such as agent-framework, agentic-ai, agentic-rag.
You can find installation instructions and usage details in the haystack GitHub repository at github.com/deepset-ai/haystack. The project has 26.8k stars and 3307 forks, indicating an active community.
haystack is released under the Apache-2.0 license, making it free to use and modify according to the license terms.