LlamaIndex
LlamaIndex helps developers and enterprises process documents and build AI workflows around them.
What LlamaIndex is
LlamaIndex helps developers and enterprises process documents and build AI workflows around them. Its LlamaParse service handles more than 50 types of unstructured files, including material with embedded images, complex layouts, multi-page tables, and handwritten notes. Schema-based extraction agents use language models to turn unstructured content into structured insights without training. Workflows can divide documents into logical sections and classify them using natural-language descriptions and rules. For retrieval-augmented generation, LlamaParse provides chunking and embedding pipelines for indexing and retrieval. Community integrations span data loaders, agent tools, language models, vector stores, observability, and application frameworks. LlamaCloud connectors currently include Google Drive, SharePoint, S3, and Confluence; several other connectors are listed as coming soon. Free and Starter accounts allow five concurrent parse, extract, classify, and split jobs; Pro allows 20 and Enterprise 100. LlamaParse is a commercial platform, while LlamaIndex and Workflows are open-source projects.
Good
- Parses more than 50 unstructured file types.
- Extracts structured insights without training.
- Supports document segmentation and classification workflows.
- Offers chunking and embedding pipelines for RAG.
- Enterprise supports private VPC deployment.
Watch out
- Free and Starter allow five concurrent jobs.
- LlamaParse is not open source.
- Some listed connectors are coming soon.
Who it suits
LlamaIndex is for developers and enterprises automating document workflows and knowledge work. Its parsing, extraction, classification, and RAG indexing capabilities suit teams building AI applications around document content.
Verdict
LlamaIndex combines document parsing and extraction with workflow and RAG indexing tools. Free use is available, while paid plans start at $50/mo and concurrency allowances vary by plan.
Plans and prices
From LlamaIndex's own pricing page, checked 7 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Starter | $50 a month | 40K credits · pay-as-you-go up to 400K credits · 100 users · basic support · /month |
| Pro | $500 a month | 400k credits · limited-time 800k-credit bonus ($1,000), one-time · pay-as-you-go up to $5,000/mo · 100 users · priority Slack support · business email domains only · /month |
| Enterprise | Priced on request | Volume discounts · 5x higher rate limits · enterprise SSO · SaaS or hybrid cloud deployment · dedicated account manager |
| Free | — | 10K credits · 100 users · basic support · /month |
The facts
Each one read from LlamaIndex's own pages, with the date it was checked.
What it does
- Connected sources
- LlamaCloud connectors currently support Google Drive, SharePoint, S3, and Confluence; OneDrive, Azure Blob Storage, Box, Notion, Slack, and Jira are listed as coming soon.checked 7 Oct 2026
- Data retention
- The pricing FAQ says SaaS data is encrypted in transit and at rest, cached data is retained for 48 hours before deletion, and caching can be turned off.checked 7 Oct 2026
- Deployment
- Enterprise customers can deploy LlamaParse in private VPCs, and the pricing page also lists SaaS or hybrid cloud deployment for Enterprise.checked 7 Oct 2026
- Extraction
- LlamaParse uses schema-based, LLM-powered extraction agents to turn unstructured content into structured insights without training.checked 7 Oct 2026
- Integrations
- LlamaIndex documents community integrations for data loaders, agent tools, LLMs, vector stores, observability, and application frameworks.checked 7 Oct 2026
- Limits
- Free and Starter include 5 concurrent parse, extract, classify, and split jobs, while Pro includes 20 and Enterprise includes 100.checked 7 Oct 2026
- Open source
- LlamaParse is described as a commercial platform that is not open source, while LlamaIndex and Workflows are open-source projects.checked 7 Oct 2026
- Parsing
- LlamaParse parses more than 50 unstructured file types, including files with embedded images, complex layouts, multi-page tables, and handwritten notes.checked 7 Oct 2026
- Purpose
- LlamaIndex helps developers and enterprises automate document processing and build AI workflows around documents.checked 7 Oct 2026
- RAG indexing
- LlamaParse offers chunking and embedding pipelines for indexing and retrieval in RAG workflows.checked 7 Oct 2026
- Security
- The pricing FAQ says LlamaParse is certified for SOC 2 Type II, GDPR, and HIPAA.checked 7 Oct 2026
- Support
- The listed support levels are community for Free, basic email support for Starter, priority Slack Connect for Pro, and dedicated support for Enterprise.checked 7 Oct 2026
- Target users
- The company describes its products as tools for developers and enterprises automating document workflows and knowledge work.checked 7 Oct 2026
- Workflows
- The platform supports segmenting documents into logical sections and classifying them with natural-language descriptions and rules.checked 7 Oct 2026
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