CourdxVSGlean
Both platforms help teams find answers in enterprise data. The difference is how they do it — and where your data lives.
The Short Version
Choose Courdx if you need:
- On-premises deployment (data never leaves your network)
- Knowledge graph intelligence beyond vector search
- Sentence-level citations with confidence scores
- Multi-LLM flexibility (OpenAI, Anthropic, Ollama)
- Deep ERP integration (Acumatica, Oracle, Dynamics 365)
- Full admin control with 36+ management pages
Choose Glean if you need:
- Fully managed cloud solution with no infrastructure overhead
- Maximum connector count (100+)
- Large existing customer base and proven scale
- Tight Google Workspace integration
Why Teams Switch from Glean to Courdx
Four architectural advantages that Glean cannot match
100% On-Premises
Courdx deploys entirely in your infrastructure. Your data never leaves your network. Glean is cloud-only — your documents are processed on their servers.
Knowledge Graph Intelligence
Courdx automatically builds knowledge graphs from your documents, discovering entity relationships that vector search alone misses. Glean relies solely on vector similarity.
Sentence-Level Citations
Every Courdx answer cites the exact sentence in the source document with confidence scores. Glean provides document-level references without granular traceability.
Self-Correcting RAG Pipeline
Courdx uses 6+ retrieval strategies with automatic correction. If the first retrieval attempt scores low, Corrective RAG triggers alternative strategies. Glean has no self-correction.
Feature-by-Feature Comparison
A comprehensive look at how both platforms stack up across key enterprise requirements
Deployment & Data Control
Retrieval Intelligence
Trust & Citations
Connectors & Integration
Security & Compliance
Administration
Architecture Difference
Where your data lives and how your answers are generated
Courdx Architecture
Your InfrastructureYour servers / your cloud tenant
Ollama (local) or any cloud LLM
Vespa (self-hosted)
Memgraph (knowledge graphs)
6+ strategies with self-correction
Sentence-level with confidence
Documents never leave your network
Glean Architecture
Their CloudGlean cloud infrastructure only
Proprietary models (no choice)
Managed (not configurable)
None (vector search only)
Vector similarity + keyword
Document-level references
Documents indexed on Glean servers
Frequently Asked Questions
Can Courdx really run entirely on-premises with no cloud dependencies?+
Yes. Courdx supports full on-premises deployment using local LLMs via Ollama or llamacpp, Vespa for vector search, Memgraph for knowledge graphs, and PostgreSQL for metadata. Zero external API calls required.
How does Courdx find answers that vector search misses?+
Courdx automatically extracts entities and relationships from your documents to build a knowledge graph. When a question involves connections between concepts (e.g., "What processes does the Accounting department use?"), the graph retrieves related entities that vector similarity alone would miss.
What does "sentence-level citations" mean in practice?+
Every claim in a Courdx answer links to the exact sentence in the source document, not just the document or page. Each citation includes a confidence score (e.g., 98%) so you can instantly assess reliability.
Is Courdx harder to set up than Glean since it is self-hosted?+
Courdx provides Docker-based deployment that typically completes in 6-8 weeks for enterprise environments. You get full infrastructure control, which many security-conscious organizations prefer over the convenience of managed SaaS.
Can I switch LLM providers without re-ingesting my data?+
Yes. Courdx decouples ingestion from inference. You can switch between OpenAI, Anthropic, Ollama, or Azure models at any time — even configure different models for different tasks (chat, summarization, extraction).
Ready to See the Difference?
Schedule a 30-minute demo and see how Courdx handles your actual documents — with citations, knowledge graphs, and full data control.