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Introducing Respan Router

Chunkr vs Haystack (2026)

vs

Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
—
Best For
Developers who need a modular, composable framework for building production RAG applications
Product Summary

Chunkr is a document parsing and chunking service optimized for RAG pipelines. It handles PDFs, images, tables, and complex document layouts, producing clean structured output ready for embedding and retrieval. Chunkr focuses on the critical pre-processing step that determines RAG quality.

Product Summary

Haystack by deepset is an open-source framework for building production-ready RAG pipelines, semantic search, and question answering systems. It provides modular components for document processing, retrieval, and generation with support for multiple LLM providers and vector stores.

Starting Price
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Starting Price
Open Source
Free Trial
No
Free Trial
No
Free Version
No
Free Version
No
Website

Key features

Core capabilities each platform advertises.

ChunkrChunkr
Data not available
HaystackHaystack
  • Modular RAG framework
  • Pipeline-based architecture
  • Strong evaluation tools
  • 50+ integrations
  • Production-ready components

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

ChunkrChunkr

Pros

  • Excellent handling of complex documents including handwritten text and technical diagrams
  • Supports approximately 100 languages for global multilingual processing
  • SOC2 and HIPAA compliant with strong security and privacy controls
  • Generous free tier with 200 pages to test the service
  • Multiple output formats (HTML, Markdown, JSON) for flexibility

Cons

  • On-premises deployment restricted to Enterprise tier only
  • Credit-based pricing may be less predictable for high-volume use
  • Limited publicly available information about pricing structure
  • Small team size (3 employees) may impact support and feature development speed
HaystackHaystack

Pros

  • Fully open-source and free to use with strong community support
  • Vendor-agnostic architecture with broad integration support across LLM providers and vector databases
  • Production-ready with Kubernetes-ready deployment and built-in observability
  • Transparent and modular design with full visibility into AI decision-making
  • Advanced features including hybrid retrieval, multimodal AI, and flexible prompt engineering

Cons

  • Steeper learning curve compared to more opinionated frameworks
  • Enterprise platform (deepset Studio) requires commercial license
  • May require more configuration effort for basic use cases

Chunkr or Haystack — which should you choose?

Choose Chunkr if you want

Data not available

Choose Haystack if you want

  • Customizable RAG pipelines
  • Document search and QA systems
  • Enterprise knowledge management
  • Modular AI application development
  • Evaluation-driven development

Compare Chunkr and Haystack on your own traffic

10KFree traces/mo
1,000+Models
5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

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