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