Haystack vs LlamaIndex
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Haystack | LlamaIndex |
|---|---|---|
| Pricing | Free (open-source); Haystack Enterprise paid | Freemium (LlamaParse: 1k pages/day free; pay-as-you-go beyond) |
| Primary Use | Modular AI framework for RAG & agents | Document parsing & structured extraction for LLMs |
| Target User | Developers/data scientists building production AI pipelines | Developers automating complex document processing |
| Key Strength | Pipeline modularity, hybrid retrieval, multi-provider support | Agentic OCR, structured extraction, table/chart/ handwriting parsing |
| Open Source | Fully open-source (Apache 2.0) | LiteParse open-source; core platform proprietary |
| Best For | Production RAG, multi-provider agents, multimodal apps | Invoice processing, financial due diligence, complex document RAG |
LlamaIndex is the strong choice if your primary need is parsing complex documents (handwriting, tables, charts) into structured data for LLMs. Haystack is better if you need a flexible, open-source framework for building end-to-end RAG pipelines and AI agents with full control over retrieval, generation, and multi-provider integration. They can even complement each other: use LlamaParse for extraction, then feed into a Haystack pipeline.
Feature-by-feature
LlamaIndex focuses on document parsing with LlamaParse: agentic OCR, Pydantic-structured extraction, table/chart/handwriting parsing, and auto-correction. It handles 130+ file types and includes LiteParse, an open-source local parser now with markdown output (latest news). Haystack is a broader orchestration framework: modular RAG pipelines, hybrid retrieval (dense+sparse), standardized tool calling for agents, Jinja-2 templating, and multimodal support (image, audio). It offers cloud-agnostic serialization, Kubernetes readiness, and built-in monitoring. Haystack integrates with many LLM providers (OpenAI, Anthropic, Hugging Face, etc.) and vector stores; recent 2.30 release added plain string input to ChatGenerator. LlamaIndex's strength is deep document understanding (ParseBench score 84.9%), while Haystack excels in pipeline flexibility and provider agnosticism. They are complementary: LlamaIndex for parsing, Haystack for orchestration.
Pricing compared
LlamaIndex operates on a freemium model: LlamaParse offers 1,000 pages per day free; beyond that, it's pay-as-you-go. It also has a fully open-source local parser, LiteParse (now supports markdown). Haystack is completely open-source and free to use under Apache 2.0. Haystack Enterprise (paid) adds features like managed MCP tools, but the core framework is gratis. For teams needing advanced document parsing, LlamaIndex's free tier may be sufficient for small volumes, but heavy usage incurs costs. Haystack has no direct parsing cost, but requires self-hosting or cloud compute for LLM calls and vector databases. Overall, Haystack is more budget-friendly for custom pipelines, while LlamaIndex adds value for complex document extraction.
Who should pick which
- Solo founder building an invoice automation toolPick: LlamaIndex
LlamaParse's agentic OCR and structured extraction directly handle invoices with tables and handwriting, providing ready-to-use data for LLMs.
- Data scientist building a multi-provider RAG systemPick: Haystack
Haystack's modular pipelines support multiple LLM providers (OpenAI, Anthropic, Hugging Face) and hybrid retrieval, offering flexibility and no vendor lock-in.
- Enterprise team needing compliant document agentsPick: LlamaIndex
LlamaIndex offers HIPAA/SOC2 compliance and handles complex document types like technical manuals and inspection reports.
- Developer creating a multimodal AI app with image/audioPick: Haystack
Haystack has built-in multimodal support for image and audio processing, along with Jinja-2 templating for content generation.
- Team wanting an open-source, self-hosted pipelinePick: Haystack
Haystack is fully open-source (Apache 2.0), cloud-agnostic, and Kubernetes-ready, allowing complete control without vendor lock-in.
Frequently Asked Questions
Can I use LlamaParse with Haystack?
Yes, you can use LlamaParse as a component in a Haystack pipeline to extract structured data from documents, then pass it to Haystack's retrieval or generation nodes.
Which tool is better for parsing handwritten text?
LlamaIndex’s LlamaParse includes VLM-powered document understanding agents that handle handwritten text parsing, making it the better choice.
Does Haystack support multimodal (image/audio)?
Yes, Haystack has built-in multimodal support for processing images and audio within pipelines.
Is LlamaIndex open-source?
LlamaIndex offers LiteParse as an open-source local parser (now with markdown output), but the core LlamaParse platform is proprietary with a freemium pricing model.
Can I switch LLM providers easily with Haystack?
Yes, Haystack is designed to be provider-agnostic, integrating with OpenAI, Anthropic, Mistral, Hugging Face, and more without code changes.
What is the free limit for LlamaParse?
LlamaParse offers 1,000 pages per day for free; additional usage is pay-as-you-go.
Is Haystack suitable for production?
Yes, Haystack is production-ready with features like pipeline serialization, Kubernetes deployment, built-in logging, and monitoring.
Does LlamaIndex support table extraction?
Yes, LlamaParse includes table extraction from dense or irregular layouts, converting them to structured data.
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