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LlamaIndex vs Haystack

A leading open-source data framework for building RAG (retrieval-augmented generation) and knowledge agents. LlamaIndex connects your documents, databases and APIs to LLMs so they can answer questions over your own data accurately.

Winner: LlamaIndex(⭐ 4.6)

🧠 Expert verdict

Our expert verdict: LlamaIndex is the stronger all-round choice, scoring 4.6/5 versus 4.5/5 for Haystack, and it stands out for "Best-known open RAG framework". Choose LlamaIndex if you want the best data tool overall, especially for chat with your documents; pick Haystack if "Production-grade RAG & search" matters more for your workflow.

LlamaIndex

A leading open-source data framework for building RAG (retrieval-augmented generation) and knowledge agents. LlamaIndex connects your documents, databases and APIs to LLMs so they can answer questions over your own data accurately.

Visit LlamaIndex

Haystack

An open-source Python framework by deepset for building production RAG pipelines and search systems. Haystack connects LLMs, vector databases and your data into reliable, composable pipelines — a mature alternative to LangChain for search and QA.

Visit Haystack
CriteriaLlamaIndexHaystack
Rating
4.6/5
4.5/5
Pricing
Free / Open Source
Free / Open Source
Category
data
data
Popularity
📈 High
👍 Medium
Value for Money
⭐⭐⭐ Excellent
⭐⭐⭐ Excellent
📅 Release Date
2023
2020
🔄 Last Update
Aug 2026
Aug 2026
Company
LlamaIndex
deepset
Founded
2023
2020
API Access
Yes
Yes
Mobile App
No
No

LlamaIndex

Pros

  • +Best-known open RAG framework
  • +Connects docs, DBs and APIs to LLMs
  • +Accurate answers over your own data
  • +Free and open source
  • +Large ecosystem of integrations

Cons

  • For developers (Python/TS)
  • RAG design takes effort
  • Quality depends on your data
  • Overlaps with LangChain for some

Haystack

Pros

  • +Production-grade RAG & search
  • +Composable, reliable pipelines
  • +Mature, well-documented
  • +Free and open source
  • +Vendor-neutral (any LLM/DB)

Cons

  • For developers (Python)
  • Pipeline design takes effort
  • Overlaps with LangChain/LlamaIndex
  • Not a no-code tool

🎯 Best forLlamaIndex

Chat with your documentsEnterprise knowledge assistantsRAG pipelinesData-grounded agents

🎯 Best forHaystack

Production RAG systemsEnterprise searchQuestion answeringDocument intelligence

🏷️ TagsLlamaIndex

Open SourceRAGDataFramework

🏷️ TagsHaystack

Open SourceRAGSearchFramework

Our Verdict

After comparing ratings, pricing and features, LlamaIndex comes out ahead with a 4.6/5 rating. It is the better choice for most users.

Expert take on each tool

📌 LlamaIndex

LlamaIndex is a top open-source framework for building accurate RAG systems and knowledge agents over your own data. For developers who need an LLM that answers from company documents rather than guessing, it is the standard free toolkit.

📌 Haystack

Haystack is a mature open-source framework for production RAG and search: reliable, composable pipelines that connect any LLM and vector store to your data. A strong, vendor-neutral choice for teams shipping search and QA at scale.

Frequently Asked Questions

Which is better: LlamaIndex or Haystack?

LlamaIndex has the higher user rating (4.6/5 vs 4.5/5), making it the stronger overall pick. That said, Haystack can still be the better fit depending on your budget and specific needs — see the full comparison above.

Is LlamaIndex or Haystack cheaper?

LlamaIndex (Free / Open Source) and Haystack (Free / Open Source) sit at a similar price point. The best way to compare actual cost is to check each tool's plans for the specific features and usage limits you need.

Can I switch from LlamaIndex to Haystack?

Yes — switching between LlamaIndex and Haystack is usually straightforward since both are data tools with similar core workflows. Most users can export their data and get started with Haystack within a day; just check Haystack's free plan before committing to a paid tier.