Keywords AI
Haystack vs LlamaIndex
Compare Haystack and LlamaIndex 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 who need a modular, composable framework for building production RAG applications | Developers building data-intensive LLM applications who need flexible ingestion and retrieval |
| Website | haystack.deepset.ai | llamaindex.ai |
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When to Choose Haystack vs LlamaIndex
- Customizable RAG pipelines
- Document search and QA systems
- Enterprise knowledge management
- Building RAG pipelines from any data source
- Enterprise knowledge base creation
- Multi-source data integration for AI
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 LlamaIndex
LlamaIndex (formerly GPT Index) is a data framework for connecting LLMs with external data sources. It provides connectors for 160+ data sources, document parsers, indexing strategies, and query engines that make it easy to build RAG applications. LlamaIndex supports advanced retrieval patterns including recursive retrieval, knowledge graphs, and multi-document agents. The LlamaCloud managed service handles document ingestion and parsing at scale.
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 →