
Build and integrate AI-powered knowledge systems with GuidedMind.
GuidedMind provides a Context Engine that transforms your documents into intelligent, searchable knowledge bases. Choose your path below.
Select a RAG architecture that matches your use case. Each guide walks you through the RAG Wizard configuration step-by-step.
Basic vector search with embedding similarity. Fastest to deploy, ideal for simple Q&A over a single domain.
Combines dense (embedding) and sparse (BM25) search for better coverage and precision on mixed content.
Knowledge graph with community detection for complex, multi-hop reasoning across documents.
Connect your application to GuidedMind using your preferred interface.
Direct HTTP access with full payload documentation. Works with any language or framework.
Standard protocol for AI agents to access your RAG system via SSE transport.
Type-safe client with async support, automatic retries, and framework integrations.
Give your AI agents conversation memory — from session context to persistent, searchable knowledge.