LlamaIndex vs Haystack
Compare LlamaIndex and Haystack on deployment, pricing, model support, and more.
LlamaIndex
- Tagline
- Python RAG framework — connect LLMs to 160+ data sources with production-grade retrieval pipelines
- Description
- LlamaIndex is a Python data framework for connecting LLMs to external data sources and building retrieval-augmented generation (RAG) applications. It provides 160+ data connectors (PDFs, Notion, Slack, databases, APIs), multiple index types (vector, tree, keyword), query engines, and agent tools. LlamaIndex's focus on data ingestion and retrieval makes it the preferred framework for RAG-heavy applications, complementing LangChain's agent and chain ecosystem.
- Category
- LLM Frameworks
- Pricing
- Free
- Metric
- 52,126 GitHub stars (source)
- Link
- Visit
Haystack
- Tagline
- Open-source LLM framework for RAG and NLP pipelines — production-ready by deepset
- Description
- Haystack is an open-source Python framework for building production-grade NLP and LLM applications, developed by deepset. It provides a pipeline-based architecture for RAG systems, question answering, semantic search, and document intelligence. Haystack 2.0 introduced a composable component system supporting any LLM provider — used by 15,000+ teams including Airbus, Netflix, and Nvidia.
- Category
- LLM Frameworks
- Pricing
- Free
- Metric
- 26,475 GitHub stars (source)
- Link
- Visit
| Attribute | LlamaIndex | Haystack |
|---|---|---|
| Tagline | Python RAG framework — connect LLMs to 160+ data sources with production-grade retrieval pipelines | Open-source LLM framework for RAG and NLP pipelines — production-ready by deepset |
| Category | LLM Frameworks | LLM Frameworks |
| Pricing | Free | Free |
| Description | LlamaIndex is a Python data framework for connecting LLMs to external data sources and building retrieval-augmented generation (RAG) applications. It provides 160+ data connectors (PDFs, Notion, Slack, databases, APIs), multiple index types (vector, tree, keyword), query engines, and agent tools. LlamaIndex's focus on data ingestion and retrieval makes it the preferred framework for RAG-heavy applications, complementing LangChain's agent and chain ecosystem. | Haystack is an open-source Python framework for building production-grade NLP and LLM applications, developed by deepset. It provides a pipeline-based architecture for RAG systems, question answering, semantic search, and document intelligence. Haystack 2.0 introduced a composable component system supporting any LLM provider — used by 15,000+ teams including Airbus, Netflix, and Nvidia. |
| Metric | 52,126 GitHub stars (source) | 26,475 GitHub stars (source) |
| Link | Visit | Visit |