Explore KreateBots: Interactive AI Architecture Guide
Deconstructing KreateBots.comAn Interactive Exploration of a Modern AI Platform Architecture A Unified System for Intelligent AgentsThe KreateBots platform is more than just a collection of technologies; it's a cohesive, multi-layered system designed for flexibility, enterprise-grade security, and continuous, data-driven optimization. This interactive guide breaks down the complex architecture into understandable components. Navigate through the sections to explore the strategic thinking, the specific technologies used in each layer, and the dynamic flow of data that powers every conversation. Interactive Architecture DiagramClick on any layer to see a detailed explanation of its components and purpose.
đĽď¸
UI LayerNext.js, React
đ§
OrchestrationLangChain
đ¤
AI Process LayerOpenAI, Gemini, Azure
đž
Data & KnowledgeVector DB, PostgreSQL
đ
Integration & APICloudRun, Feeds
đ
SecurityOAuth, JWT
âď¸
InfrastructureGCP, Azure, AWS Select a layer above to learn more. The Life of a Query: RAG Data FlowThis illustrates the Retrieval-Augmented Generation (RAG) process. Click 'Next Step' to see how a user's query is transformed into an intelligent, context-aware answer. đŹ
1. User Query "How do I reset my password?" â
đ˘
2. Vectorize Query Query becomes a vector â
đ
3. Search Vector DB Finds relevant documents â
đ¤
4. Augment & Generate LLM gets query + context â
â
5. Grounded Response A factual answer is returned Core Strategic PillarsThe architecture isn't just about technology; it's driven by key business and product strategies. This chart visualizes the relative importance of the guiding principles behind KreateBots. |
Benefits Charts-with-llm Eula Feature-specifications Features Index - Copy Kreatebots-architecture Kreatebots-to-build-ai-assist Launch-with-kreatebots