Haystack vs LlamaIndex

Side-by-side comparison of two AI agent tools

Short answer

  • LlamaIndex is growing faster: +686 GitHub stars in the last 30 days vs +319 for Haystack.
  • Pick Haystack for: open-source AI orchestration framework for modular RAG pipelines and agent workflows. Pick LlamaIndex for: llamaIndex is the leading document agent and OCR platform.

From GitHub data refreshed daily.

Haystackopen-source

Open-source AI orchestration framework for modular RAG pipelines and agent workflows

LlamaIndexopen-source

LlamaIndex is the leading document agent and OCR platform

Metrics

HaystackLlamaIndex
Stars26.6k52.4k
Star velocity /mo318.73015873015873685.7142857142858
Commits (90d)76198
Releases (6m)105
Overall score0.80027444365997270.7310009941978476

Pros

  • +Production-ready architecture with robust testing and type safety (Mypy, comprehensive test coverage)
  • +Modular pipeline design allows for flexible composition and customization of AI workflows
  • +Strong community adoption with 24,000+ GitHub stars and active development by deepset
  • +社区活跃且成熟,拥有48,058 GitHub星标和大量贡献者
  • +专注于文档代理和OCR功能,为文档处理提供专业解决方案
  • +持续维护和更新,具有完整的CI/CD流程和多平台支持

Cons

  • -Learning curve may be steep for developers new to AI orchestration frameworks
  • -Complexity might be overkill for simple LLM integration use cases
  • -从提供的信息中无法确定具体的技术限制和使用约束
  • -缺乏详细的功能描述和技术规格说明

Use Cases

  • •Building production RAG systems with sophisticated document retrieval and context management
  • •Creating AI agent workflows with explicit control over routing and decision-making processes
  • •Developing modular AI pipelines that require custom retrieval and context engineering components
  • •构建能够读取和理解文档内容的AI代理系统
  • •开发需要OCR功能的应用程序进行文本提取
  • •创建文档智能处理和分析的解决方案

FAQ

Which is more popular, Haystack or LlamaIndex?
LlamaIndex has more GitHub stars (52,384 vs 26,641).
Which is more actively developed, Haystack or LlamaIndex?
Haystack had more commits in the last 90 days (761 vs 98).
Should I use Haystack or LlamaIndex?
Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.