Haystack

Open-source NLP framework for building production-ready search and Q&A systems

freemiumproductionpythonnlpragsearchopen-sourceproduction

Memory Types

semantic, document

Integrations

openai, anthropic, cohere, huggingface, elasticsearch, opensearch


Overview


Haystack is an open-source NLP framework by deepset for building production-ready search, question answering, and RAG systems. Unlike frameworks that emerged after ChatGPT, Haystack has been in development since before the LLM era, giving it a mature foundation for search and information retrieval that has been enhanced with modern LLM capabilities.


The framework excels at combining traditional NLP and search techniques with LLMs, making it particularly strong for hybrid systems. Haystack's pipeline architecture provides fine-grained control over every step of the retrieval and generation process, from document processing to answer generation.


Key Features


  • **Pipeline Architecture**: Flexible, composable processing pipelines
  • **Hybrid Search**: Combines neural and keyword search
  • **Document Processing**: Robust document parsing and chunking
  • **Multi-Modal**: Support for text, tables, and images
  • **Production Ready**: Battle-tested in enterprise deployments
  • **Evaluation**: Built-in evaluation framework
  • **Custom Components**: Easy to extend with custom nodes
  • **Agent Support**: Basic agent and tool usage capabilities

  • When to Use Haystack


    Haystack is ideal for:

  • Production search and Q&A systems
  • Enterprise RAG applications
  • Hybrid search combining neural and keyword approaches
  • Applications requiring robust document processing
  • Teams migrating from traditional search to LLM-powered systems
  • Projects needing fine-grained pipeline control

  • Pros


  • Mature framework with production track record
  • Excellent hybrid search capabilities
  • Strong document processing pipeline
  • Enterprise-ready and battle-tested
  • Good evaluation tools
  • Active development by deepset
  • Comprehensive documentation
  • Flexible pipeline architecture

  • Cons


  • More complex setup than newer frameworks
  • Pipeline architecture has learning curve
  • Less trendy than LangChain/LlamaIndex
  • Smaller community than top frameworks
  • Agent capabilities less developed
  • Some legacy API patterns
  • Requires more boilerplate than simpler frameworks

  • Pricing


  • **Open Source**: Free, Apache 2.0 license
  • **deepset Cloud**: Managed platform, pricing on request
  • **Enterprise**: Custom support and features