Extract and analyze web page content to answer specific questions using RAG (Retrieval Augmented Generation). Provide AI-generated responses based on relevant page sections for accurate insights.
Convert Product Requirements Documents into Architectural Decision Records using advanced AI prompting techniques for optimized technical documentation.
Analyze project ecosystems recursively with advanced prompting techniques, including Knowledge Generation and Reflexion, to uncover technology-specific insights and improve decision-making.
Automatically create Architectural Decision Records (ADRs) from Product Requirements Documents (PRDs) using advanced prompting techniques and domain-specific insights for precise architectural documentation.
Enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning.
Enables AI agents to search and retrieve relevant document content from existing embeddings stored in Supabase vector database. Provides semantic search capabilities to find document chunks based on similarity to query text without generating new embeddings.