Keywords AI
Chunkr vs Haystack
Compare Chunkr and Haystack side by side. Both are tools in the RAG Frameworks category.
Quick Comparison
| Category | RAG Frameworks | RAG Frameworks |
| Pricing | — | Open Source |
| Best For | — | Developers who need a modular, composable framework for building production RAG applications |
| Website | chunkr.ai | haystack.deepset.ai |
| Key Features | — |
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| Use Cases | — |
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When to Choose Chunkr vs Haystack
- Customizable RAG pipelines
- Document search and QA systems
- Enterprise knowledge management
About Chunkr
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.
About Haystack
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.
What is RAG Frameworks?
Frameworks and tools for building retrieval-augmented generation pipelines—document parsing, chunking, indexing, and query engines that connect LLMs to your data.
Browse all RAG Frameworks tools →