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LlamaIndex
What it is
LlamaIndex helps developers and enterprises process documents and build AI workflows around them. Its LlamaParse service handles more than 50 kinds of unstructured files, including those 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 workflows, LlamaParse provides chunking and embedding pipelines for indexing and retrieval. Community integrations cover data loaders, agent tools, language models, vector stores, observability, and application frameworks. LlamaCloud connectors currently support Google Drive, SharePoint, S3, and Confluence; OneDrive, Azure Blob Storage, Box, Notion, Slack, and Jira are listed as coming soon. Free and Starter plans allow five concurrent parsing, extraction, classification, and splitting jobs; Pro allows 20, and Enterprise 100. LlamaParse is a commercial platform, while LlamaIndex and Workflows are open-source projects. Starter costs $50 a month; a free plan is also listed.
For and against
For
- Parses more than 50 unstructured file types.
- Extraction agents structure content without training.
- Supports chunking and embedding for RAG workflows.
- Enterprise deployment options include private VPCs.
Against
- Free and Starter plans allow five concurrent jobs.
- LlamaParse is commercial, not open source.
- Several listed connectors are coming soon.
The verdict
LlamaIndex brings document parsing, extraction, classification, and retrieval pipelines together for AI workflows. The free plan has lower concurrent-job limits than Pro and Enterprise, and Starter costs $50 a month.
Who it suits
LlamaIndex is aimed at developers and enterprises automating document processing and knowledge work. It may suit teams building document-centered AI and retrieval workflows.
Plans and prices
Starter
40K credits · pay-as-you-go up to 400K credits · 100 users · basic support
Read 7 Oct 2026 · llamaindex.ai
Pro
400k credits · limited-time 800k-credit bonus ($1,000), one-time · pay-as-you-go up to $5,000/mo · 100 users
Read 7 Oct 2026 · llamaindex.ai
Enterprise
Volume discounts · 5x higher rate limits · enterprise SSO · SaaS or hybrid cloud deployment
Read 7 Oct 2026 · llamaindex.ai
Free
10K credits · 100 users · basic support
Read 7 Oct 2026 · llamaindex.ai
On the record
- 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.developers.llamaindex.ai · read 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.llamaindex.ai · read 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.llamaindex.ai · read 7 Oct 2026
- Extraction
- LlamaParse uses schema-based, LLM-powered extraction agents to turn unstructured content into structured insights without training.llamaindex.ai · read 7 Oct 2026
- Integrations
- LlamaIndex documents community integrations for data loaders, agent tools, LLMs, vector stores, observability, and application frameworks.developers.llamaindex.ai · read 7 Oct 2026
- Limits
- Free and Starter include 5 concurrent parse, extract, classify, and split jobs, while Pro includes 20 and Enterprise includes 100.llamaindex.ai · read 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.llamaindex.ai · read 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.llamaindex.ai · read 7 Oct 2026
- Purpose
- LlamaIndex helps developers and enterprises automate document processing and build AI workflows around documents.llamaindex.ai · read 7 Oct 2026
- RAG indexing
- LlamaParse offers chunking and embedding pipelines for indexing and retrieval in RAG workflows.llamaindex.ai · read 7 Oct 2026
- Security
- The pricing FAQ says LlamaParse is certified for SOC 2 Type II, GDPR, and HIPAA.llamaindex.ai · read 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.llamaindex.ai · read 7 Oct 2026
- Target users
- The company describes its products as tools for developers and enterprises automating document workflows and knowledge work.llamaindex.ai · read 7 Oct 2026
- Workflows
- The platform supports segmenting documents into logical sections and classifying them with natural-language descriptions and rules.llamaindex.ai · read 7 Oct 2026
