Keywords AI
Docling vs Haystack
Compare Docling and Haystack side by side. Both are tools in the RAG Frameworks category.
Quick Comparison
| Category | RAG Frameworks | RAG Frameworks |
| Pricing | Open Source | Open Source |
| Best For | Developers and researchers who need accurate document parsing with layout and table understanding | Developers who need a modular, composable framework for building production RAG applications |
| Website | github.com | haystack.deepset.ai |
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When to Choose Docling vs Haystack
- PDF to structured data conversion
- Academic paper processing
- Financial report extraction
- Customizable RAG pipelines
- Document search and QA systems
- Enterprise knowledge management
About Docling
Docling is IBM's open-source document conversion toolkit that transforms PDFs, DOCX, PPTX, and other document formats into structured JSON or markdown. It uses advanced layout analysis and table structure recognition to preserve document structure, making it ideal for preparing documents for RAG and LLM applications. Docling integrates with LlamaIndex and LangChain for seamless pipeline construction.
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 →