Keywords AI
Haystack vs Unstructured
Compare Haystack and Unstructured side by side. Both are tools in the RAG Frameworks category.
Quick Comparison
| Category | RAG Frameworks | RAG Frameworks |
| Pricing | Open Source | Freemium |
| Best For | Developers who need a modular, composable framework for building production RAG applications | Enterprises that need to extract structured data from large volumes of unstructured documents |
| Website | haystack.deepset.ai | unstructured.io |
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When to Choose Haystack vs Unstructured
- Customizable RAG pipelines
- Document search and QA systems
- Enterprise knowledge management
- Enterprise document ingestion pipelines
- RAG data preparation from PDFs and docs
- Financial document processing
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.
About Unstructured
Unstructured is the leading data ingestion platform for AI applications, transforming unstructured data—PDFs, Word documents, HTML, images, emails—into clean, structured formats ready for LLM consumption and RAG pipelines. The platform handles document parsing, OCR, table extraction, and chunking with high accuracy. Available as open-source and a managed API service, Unstructured is used by enterprises to prepare large document corpora for AI processing.
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 →