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.
Install with one command
$ npx skills add deepset-ai/haystackBest for
RAG and knowledge
Use these skills to ingest documents, index knowledge, retrieve relevant context, and make agents better at answering with grounded sources.
Choose it when
- You want a GitHub-backed skill with 25.3K stars.
- You need a reusable install command for agents.
- You want to compare it with related marketplace skills.
Check before install
- Pushed today
- License: Apache-2.0
- Review the repository README and examples.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Stack fit
Add it to a complete workflow
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
Browser QA agent
A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Overview
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.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- Apache-2.0
- Last Updated
- 5/23/2026
- Published
- 5/23/2026
Frameworks & Tools
Author
deepset-ai✓
@deepset-ai
Platform Fit
Health Signals
- GitHub stars
- 25.3K
- Quality score
- 74/100
- Last GitHub push
- May 22, 2026
- Framework hints
- 2
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
- —Open source (public GitHub repo)
- —AI static analysis passed
- —License: Apache-2.0
- —Manually verified by team
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