Haystack
ActiveDescription
Haystack is an enterprise-grade framework for RAG and search applications, covering document processing, retrieval, generation, and evaluation end to end.
Key Features
- Modular pipeline architecture — compose retrieval, routing, memory, and generation components as DAGs with conditional branches and loops
- Model and vendor agnostic — swap OpenAI, Anthropic, Cohere, Hugging Face, AWS Bedrock, and local models without rewriting
- Context engineering control — explicit control over how information is retrieved, ranked, filtered, combined, and routed before reaching the model
- Extensible component ecosystem — build and share custom components through a consistent interface for community and third-party extensions
- Built-in evaluation and observability — end-to-end evaluation pipelines to test and measure RAG output quality
- Production-ready deployment — Docker containerization support with enterprise-grade Haystack Enterprise platform
Use Cases
💡 Enterprise knowledge base RAG: connect internal document stores with multi-turn conversational Q&A
💡 Semantic search engine: build vector-embedding-based semantic retrieval systems as alternatives to keyword search
💡 Multimodal Q&A systems: combine text and image retrieval for cross-modal document question answering
💡 Autonomous agent workflows: use agent components to call external tools and execute multi-step reasoning tasks
💡 Document classification and information extraction: apply pipeline components to extract structured information from unstructured documents
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (26.2k stars)
- • Permissive open-source license (Apache-2.0)
- • Responsive to issues, low backlog
Categories
Quick Start
```bash
pip install haystack-ai
```