by LlamaIndex, Inc. · founded 2022 · updated Sep 2026
LlamaIndex specializes in connecting LLMs to data: ingestion, parsing (LlamaParse), indexing and retrieval, plus agent workflows over enterprise knowledge. LlamaCloud offers the managed path from documents to production RAG.
Agent FrameworksOpen SourceEstablishedFrom Free / LlamaCloud from $50 per month
LlamaParseLlamaCloudMajor vector storesAll major LLMs300+ data loaders
Strengths
+Best-in-class document parsing for complex PDFs and tables
+Purpose-built for retrieval quality over enterprise data
+Clean workflow abstractions for agentic RAG
Limitations
-Narrower scope than general agent frameworks
-Managed cloud pricing based on credits needs monitoring
-Overlap with LangChain forces an ecosystem choice
Evidence behind this score
Each score is built from the claims below. This is a snapshot, so check the current terms with the vendor before you commit to anything.
3 of 4 claims below are past their re-check window. Pricing, availability and security details move fast, so confirm those with the vendor.
Claim
Source
Checked
LlamaParse handles complex tables, charts and scanned docs· re-check
LlamaIndex documentation
May 2025
Workflows 1.0 released for event-driven agent orchestration· re-check
LlamaIndex blog
Jun 2025
SOC 2 Type 2 for LlamaCloud· re-check
LlamaIndex trust page
Apr 2025
LlamaCloud runs a four-tier credit system: Free (10,000 credits/mo), Starter $50/mo (40,000 credits), Pro $500/mo (400,000 credits) and custom Enterprise, with an AWS Marketplace enterprise contract path around $30K/year and a VPC deployment option for private environments
RAG quality studies highlight parsing as the biggest lever
Multiple evaluations found document parsing quality moves retrieval accuracy more than embedding model choice, validating investment in parsing layers like LlamaParse before swapping vector stores.