Psychology-aware RAG platform. Enterprise document retrieval with user understanding.
Traditional RAG systems retrieve documents without understanding the user's context, expertise level, or intent. They return the same results regardless of whether you're a beginner or expert, leading to poor user experiences.
While building Teneo, I needed knowledge management that understood not just "what" to retrieve, but "how" to present it based on the user's background.
Psychology-aware RAG that adapts retrieval and presentation based on user psychological profiles. Combines traditional similarity search with user modeling to deliver contextually appropriate results.
Adapts results based on expertise level, learning style, and domain knowledge.
Text, images, code, and structured data with psychological context modeling.
Pinecone for production deployment, dual-domain setup for scaling
Psychological profiling integration with ProfileEngine for context awareness
Multi-layered embeddings: content, context, and user preference vectors
Knowledge management backbone for book generation
User psychological profiling integration
Conversational interface for knowledge retrieval