LlamaIndex
RAG & Memory · Free + paid
Data framework for LLM applications
At a glance
- Made by
- LlamaIndex
- Korean
- None (English and a few others only)
- API
- Yes
- Available on
- Web, API
- Open source
- The LlamaIndex framework and LiteParse are open source (the license name is not on the collected page); LlamaParse is not open source
- GitHub
- 52,484 stars · MIT
What is LlamaIndex?
LlamaIndex is an applied AI lab that builds models for document parsing and extraction. Its main commercial platform, LlamaParse, parses (Parse) more than 50 types of unstructured files, performs schema-based structured extraction (Extract), and offers splitting (Split), classification (Classify), and indexing (Index). It also turns handwriting, tables, and charts into structured data and catches errors with an automatic correction loop. Its open-source offerings are the LlamaIndex framework for building RAG and agent apps (300+ integration packages) and LiteParse, which parses documents locally without the cloud or LLM tokens. According to the GitHub notice, the company's main focus has shifted from the open-source framework to LlamaParse.
- Parses more than 50 types of unstructured files (images, complex layouts, multi-page tables, handwriting)
- Schema-based LLM extraction agent (no training required), with citations and confidence scores
- Document splitting and classification based on natural-language rules
- Chunking and embedding indexing pipeline for RAG
- LiteParse, a local open-source parser
- The LlamaIndex framework and 300+ integration packages
- Cloud or customer VPC deployment, SOC2, HIPAA, and GDPR compliance
Who uses LlamaIndex and for what
- Automating financial due diligence and invoice processing
- Insurance claims and underwriting, medical record processing
- Searching complex technical documents and providing document context for AI agents
Pricing
What you get for free — Yes (Free: 10K credits per month, about 1,000 pages)
| Plan | Price | Main limits |
|---|---|---|
| Free | $0/mo | Includes 10K credits, 100 users, basic support |
| Starter | $50/mo | Includes 40K credits, pay-as-you-go up to 400K credits |
| Pro | $500/mo | Includes 400k credits, pay-as-you-go up to $5,000 per month, priority Slack support |
| Enterprise | Contact sales | Custom (contact sales), bulk credit discounts, SSO, SaaS/hybrid deployment |
| Credits | $1.25 | $1.25 per 1,000 credits |
Checked on the official pages on 2026-10-14. Prices and features can change, so check the official site again before paying. · Official pricing page
Combos that work well with LlamaIndex
Document indexing and evidence-based answers
ChatGPT (OpenAI) splits pricing documents and help pages into searchable nodes. In LlamaIndex, the document version, collection time, and URL are kept in search results. Only changed documents are re-indexed to save cost.
Cost: Brain: API pay-as-you-go + subscription (ChatGPT) / Tool: open source + paid cloud-managed plan
Document indexing and evidence-based answers
Claude splits pricing documents and help pages into searchable nodes. In LlamaIndex, the document version, collection time, and URL remain in search results. Re-index only changed documents to reduce cost.
Cost: Brain: freemium (free + paid subscription) + API pay-as-you-go / Tool: open source + paid cloud-managed plan
Comparison chatbot that cites sources
ChatGPT indexes official documents and the pricing DB as chunks with version, URL, and collection time. In the LlamaIndex + LangChain + Cohere Rerank 3 combo, LangChain connects search, tool calls, and answer generation, and Rerank orders the evidence. Questions with insufficient evidence are not answered by guessing and are directed to the official page link instead.
Cost: API pay-as-you-go + subscription (ChatGPT) / open source + paid managed cloud plan
Comparison chatbot that cites sources
Claude indexes official documentation and the pricing DB into chunks that carry a version, URL, and collection time. In the LlamaIndex + LangChain + Cohere Rerank 3 combo, LangChain connects search, tool calls, and answer generation, and Rerank orders the evidence. For questions with insufficient evidence, it does not guess an answer and instead points to the official page link.
Cost: Freemium (free + paid subscription) + API pay-as-you-go / open source + paid managed cloud plan
Comparison chatbot that cites sources
Gemini indexes official documentation and the pricing DB into chunks that carry a version, URL, and collection time. In the LlamaIndex + LangChain + Cohere Rerank 3 combo, LangChain connects search, tool calls, and answer generation, and Rerank orders the evidence. For questions with insufficient evidence, it does not guess an answer and instead points to the official page link.
Cost: Freemium (free + paid subscription) + API pay-as-you-go / open source + paid managed cloud plan
Comparison chatbot that cites sources
DeepSeek indexes official documents and the pricing DB into chunks with version, URL, and collection time. In the LlamaIndex + LangChain + Cohere Rerank 3 combo, LangChain connects retrieval, tool calls, and answer generation, and Rerank orders the evidence. For questions with insufficient evidence, it does not guess an answer and points to the official page link instead.
Cost: Open source (free) + API pay-as-you-go / open source + paid managed cloud plan
Comparison chatbot that cites sources
Perplexity indexes official documents and the pricing DB into chunks that carry a version, URL, and collection time. In the LlamaIndex + LangChain + Cohere Rerank 3 combo, LangChain connects search, tool calls, and answer generation, and Rerank orders the evidence. Questions with insufficient evidence are not answered by guesswork but directed to official page links.
Cost: Freemium (free + paid subscription) / open source + paid managed cloud plan
Comparison chatbot that cites sources
Grok-2 indexes official documents and the pricing DB into chunks that carry a version, URL, and collection time. In the LlamaIndex + LangChain + Cohere Rerank 3 combo, LangChain connects search, tool calls, and answer generation, and Rerank orders the evidence. Questions with insufficient evidence are not answered by guesswork but directed to official page links.
Cost: Subscription (including X subscription) + API pay-as-you-go / open source + paid managed cloud plan
AI tools similar to LlamaIndex (alternatives)
LlamaIndex vs. alternatives at a glance
| AI | Pricing | Combos on the map | Connected tools | Free | Cheapest monthly | Korean |
|---|---|---|---|---|---|---|
| LlamaIndex | Free + paid | 18 | 5 | Yes | $50/mo | No |
| DSPy | Free + paid | 0 | 5 | — | — | No |
| Haystack | Free + paid | 0 | 5 | Yes | — | No |
| LangChain | Free + paid | 18 | 5 | Yes | $39/mo | No |
| Semantic Kernel | Free + paid | 0 | 5 | — | — | Yes |
3 of these 5 tools have a free plan. Cheapest paid plan: LangChain ($39/mo).
Combo and connection counts are based on the relationships recorded on AI Galaxy Map (2026-10-26); they are not a quality ranking.
LlamaIndex on AI Galaxy Map
- One of 21 AI tools in the RAG & Memory field.
- Connected to 5 other tools — #1 in its field.
- Part of 18 work combos recorded on the map.
Frequently asked questions
Can I use LlamaIndex for free?
Yes (Free: 10K credits per month, about 1,000 pages). Prices can change, so check the official site before paying.
What works well with LlamaIndex?
Based on the combos on the map, there is a workflow such as "Document indexing and evidence-based answers" that uses it together with GPT.
What AI can I use instead of LlamaIndex?
Tools that do the same job, such as DSPy, Haystack, LangChain, Semantic Kernel, are connected to it on the map.
Can I use LlamaIndex in Korean?
None (English and a few others only)
Sources (official pages)
Checked on the official pages on 2026-10-14. Prices and features can change, so check the official site again before paying.