Haystack – Production RAG Framework
SkillAI & modelsBuild production-ready RAG pipelines with Haystack
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Haystack skill
What this skill tells your AI
The instructions your AI receives, as published by bidewio/better-openclaw in skills/haystack-rag/SKILL.md and read by ahel’s review.
Haystack is an open-source framework for building production-ready search and question-answering systems using RAG.
- GitHub: github.com/deepset-ai/haystack (20 000+ ⭐)
- License: Apache-2.0
- Security: Backed by deepset. Enterprise-grade. No malware.
Environment Variables
| Variable | Description |
|---|---|
{{HAYSTACK_URL}} | Base URL of a Haystack pipeline API |
Usage Examples
Query a deployed pipeline
curl -s -X POST "{{HAYSTACK_URL}}/query" \
-H "Content-Type: application/json" \
-d '{"query": "What is retrieval augmented generation?"}'
AI Agent Tips
- Modular pipeline architecture: swap retrievers, generators, and stores.
- Supports hybrid search (BM25 + dense vector retrieval).
- Built-in evaluation tools for measuring RAG quality.
- Integrates with Elasticsearch, OpenSearch, Qdrant, Weaviate, and more.
Signals
- GitHub stars
- 58
- Forks
- 6
- Last commit
- Aug 2026
Advanced
- Item type
- skill
- Key
haystack-rag- Source
- github.com/bidewio/better-openclaw
github.com/bidewio/better-openclaw
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