RAG Frameworks

LlamaIndex vs Haystack

LlamaIndex is better for financial document Q&A with advanced indexing strategies for complex PDFs, while Haystack is better for compliance-focused financial institutions requiring production deployment with on-premise security controls.

LlamaIndex

Open SourceMIT

Purpose-built RAG framework with LlamaParse for financial PDF parsing and advanced document indexing techniques.

PricingOpen Source: $0
View Full Review β†’

Haystack

Open SourceApache-2.0

Production-ready RAG framework for regulated industries with pipeline architecture and on-premise deployment.

PricingOpen Source: $0
View Full Review β†’

Side-by-Side Comparison

FeatureLlamaIndexHaystack
CategoryRA
Open SourceYesYes
LicenseMITApache-2.0
Deployment ModelCloud, On-premise, HybridCloud, On-premise, Hybrid
Pricing Modelfreemiumfreemium
PlatformsPython, Cli, ApiPython, Api, Cli
Compatible Vector DBs
pineconeweaviatechromaqdrantmilvus
weaviateqdrantmilvuselasticsearchpinecone
Compatible LLMs
openaianthropiccoheremeta-llamamistral
openaianthropiccoheremeta-llamamistral
Compatible Frameworks
llamaindexllamaparse
haystack
Programming Languagespython, typescriptpython
Finance Use Cases
  • βœ“10-K annual report indexing and retrieval
  • βœ“Financial statement extraction from PDFs
  • βœ“Earnings call transcript synthesis
  • βœ“Prospectus and offering document analysis
  • βœ“Compliance Q&A for regulated financial documents
  • βœ“On-premise RAG for sensitive financial data
  • βœ“Regulatory filing search and retrieval
  • βœ“Audit-ready document Q&A pipelines
Key Features
  • βœ“Document-centric RAG architecture
  • βœ“LlamaParse for financial PDF parsing
  • βœ“Advanced indexing strategies (tree, list, vector)
  • βœ“Multi-document query engine
  • βœ“Structured data extraction from financial docs
  • βœ“Agentic RAG capabilities
  • βœ“Production-ready for regulated industries
  • βœ“Modular pipeline architecture
  • βœ“On-premise deployment support
  • βœ“Built-in evaluation pipelines
  • βœ“Custom component development
  • βœ“Data governance and audit trails
Pros
  • βœ“Best-in-class document parsing for financial PDFs
  • βœ“Advanced indexing outperforms basic chunking
  • βœ“Excellent for complex document Q&A workflows
  • βœ“Active open source development
  • βœ“Strong data governance and compliance features
  • βœ“On-premise deployment for sensitive data
  • βœ“Modular architecture for custom pipelines
  • βœ“Good documentation and tutorials
Cons
  • βœ—Smaller community than LangChain
  • βœ—LlamaParse has usage limits on free tier
  • βœ—Less suited for non-document-centric use cases
  • βœ—Smaller ecosystem than LangChain
  • βœ—Python-only SDK
  • βœ—Less flexible for non-pipeline workflows
WebsiteLlamaIndex β†—Haystack β†—

Frequently Asked Questions

Which is better for financial document parsing?

LlamaIndex is better for financial document parsing with its native LlamaParse integration that handles complex financial PDFs, tables, and scanned documents with high accuracy. Its hierarchical indexing preserves document structure across long reports. Haystack relies on third-party document converters and does not offer the same level of specialized financial document understanding.

Which is more secure for regulated finance?

Haystack is more secure for regulated finance with its built-in pipeline tracing, complete audit logging, and straightforward on-premise deployment. Every query and response can be logged for compliance review. LlamaIndex can be self-hosted too, but Haystack's architecture was designed from the ground up for enterprise security and compliance requirements.

Which handles complex financial PDFs better?

LlamaIndex handles complex financial PDFs significantly better thanks to its LlamaParse integration, which extracts tables, preserves document structure, and handles scanned documents via OCR. Haystack uses standard PDF parsing libraries that struggle with complex financial tables, multi-column layouts, and embedded charts common in annual reports and research documents.

Which is cheaper to run for finance teams?

LlamaIndex is cheaper to run for finance teams because it is fully open-source with no mandatory paid tiers for core functionality. Haystack is also open-source but its enterprise features and on-premise deployment options require paid licenses. For teams with existing infrastructure, LlamaIndex offers a lower total cost of ownership for basic document Q&A use cases.

Finatune Ecosystem

LlamaIndex

MCP Servers

Haystack

Data Tools

Related Comparisons

Langchain vs LlamaindexLangChain is better for building complex multi-step financial agent workflows and has the largest…Langchain vs HaystackLangChain offers more flexibility and a larger ecosystem for financial RAG development, while…Langchain vs DspyLangChain is better for most financial RAG use cases with its mature ecosystem and extensive…

Explore more RAG tool comparisons.

Compare More RAG Tools β†’