# deepset-ai/haystack

Source: https://www.gstars.dev/repo/deepset-ai/haystack
GitHub: https://github.com/deepset-ai/haystack
Observed: 2026-11-09T00:46:34.482
Generated: 2026-11-11T10:14:04.073Z

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.

| Signal | Value |
| --- | --- |
| Stars | 26944 |
| Language | Python |
| License | Apache-2.0 |
| Growth, 7 days | Unknown |
| Growth, 30 days | Unknown |
| Global rank, 7 days | Unknown |
| Health | 64.73 |

Topics: agent-framework, agentic-ai, agentic-rag, agents, ai, ai-agents, context-engineering, framework, genai, generative-ai, information-retrieval, large-language-models, llm, mcp, multi-agent, orchestration, python, rag, retrieval-augmented-generation, semantic-search

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Definitions: https://www.gstars.dev/methodology
JSON: /api/repo?owner=deepset-ai&name=haystack