LlamaIndex

Strong

by LlamaIndex, Inc. · founded 2022 · updated Jul 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

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81.9TIP Score

Strong

The score, taken apart

Fixed weights, sources attached, the formula

Capability(30%)83

Value for Money(15%)86

Security & Compliance(15%)77

Integrations & Ecosystem(15%)88

Maturity & Reliability(10%)76

Momentum(15%)78

Best for

◆Enterprise document Q&A
◆Complex PDF/table extraction
◆Knowledge-grounded agents

Key integrations

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

Every TIP Score is backed by verifiable claims. Data is a curated snapshot, always confirm current terms with the vendor.

Claim	Source	As of
LlamaParse handles complex tables, charts and scanned docs	LlamaIndex documentation	May 2025
Workflows 1.0 released for event-driven agent orchestration	LlamaIndex blog	Jun 2025
SOC 2 Type 2 for LlamaCloud	LlamaIndex trust page	Apr 2025

Intelligence on LlamaIndex

Researchmedium impactNov 5, 2025

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.

LlamaIndex Pinecone WeaviateApplied research publications