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HomeReposdeepset-ai/haystack

Repository · Auto enriched

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.

RepositoryAuto enrichedMDXApache-2.0Active signal

Verification status

Signals like stars and updates are sourced directly from GitHub. This repository is marked Auto enriched and reviews are updated regularly.

25,504

GitHub stars

2,834

Forks

MDX

Primary language

Repository signals

  • LicenseApache-2.0
  • Open issues107
  • Last pushedJun 9, 2026
  • ArchivedNo

Mapped use cases

RAG Frameworks

RAG Frameworks

Retrieval-augmented generation frameworks, vector databases, and data tooling for knowledge-connected LLM apps.

Use caseNeeds verification
Final score withheld until manual review Verified: Jun 9, 2026 View details

Related tools

Haystack

RAG Frameworks

Open-source framework for building production-style search, RAG, and NLP pipelines.

ToolNeeds verificationOpen sourceSelf-hostedFreemiumGitHub linked
deepset-ai/haystack Final score withheld until manual review Verified: Jun 9, 2026 View details

External links

  • GitHubhttps://github.com/deepset-ai/haystack
  • Homepagehttps://haystack.deepset.ai

Source references

  • GitHub REST API GitHub API · High trust · retrieved Jun 9, 2026 Official GitHub REST API repository metadata.
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