GleanEnterprise
An enterprise AI platform that connects to company apps to power permission-aware search, an assistant, and agents over internal knowledge.
AI / LLM comparison
Glean vs LlamaIndex
Pricing, pros, cons, and ideal use cases — side by side.
LlamaIndexFreemium
A data framework for connecting LLMs to private and enterprise data — ingestion, indexing, retrieval, and agent workflows over your own content.
At a glance
| Glean | LlamaIndex | |
|---|---|---|
| Pricing | EnterpriseEnterprise pricing, quoted per organization and typically seat-based. | FreemiumOpen-source framework is free. LlamaCloud (managed parsing and indexing) is sold on usage-based paid plans. |
| Category | AI / LLM | AI / LLM |
| Ideal for | Large enterprises with knowledge spread across many toolsTeams deploying an internal AI assistantOrganizations that need permission-aware AI search | Teams building RAG over internal dataEngineering orgs standardizing ingestion and retrievalEnterprises with large, messy document sets |
Pros & cons
Glean
Pros
- Permission-aware search across the whole app estate
- Mature connector library for enterprise SaaS
- Assistant and agent layer on a trusted knowledge graph
- Strong fit for large, complex organizations
Cons
- Enterprise pricing and a real procurement process
- Value depends on broad connector deployment
- Overkill for small teams or simple stacks
LlamaIndex
Pros
- Deep, well-documented retrieval toolkit
- Handles complex and messy document types
- Managed LlamaCloud option for scale
- Large ecosystem of connectors
Cons
- Retrieval quality still depends on your tuning and evals
- Overlapping features with LangChain can confuse
- Fast-moving API surface
Which should you choose?
LlamaIndex is the lighter-weight option (Freemium), while Glean sits higher on the pricing ladder (Enterprise). Glean is built around large enterprises with knowledge spread across many tools; LlamaIndex leans more toward teams building rag over internal data. Shortlist the one whose strengths line up with your biggest constraint.