
See Why Your AI Answered That Way: Introducing Subgraph Retrieval
Full transparency into the entities, relationships, and sources behind every response. Built for teams that need audit trails.
February 6, 2026
Explore our latest articles on AI, RAG technology, and platform features

Full transparency into the entities, relationships, and sources behind every response. Built for teams that need audit trails.
February 6, 2026

Our new graph extraction engine discovers entities, relationships, and domain structure automatically — no ontology design required.
February 5, 2026

Enterprise-grade security controls are already protecting your data. Independent certification is on the way.
February 4, 2026

For 2025, building a competitive AI agent is no longer just about the LLM—it's about the Memory Architecture that wraps it. Learn how to design a robust system using semantic caching for short-term memory and vector storage for long-term personalization.
December 24, 2025

Standard RAG systems often fail when documents are split into chunks, losing critical context. We explore 'Contextual Retrieval'—a breakthrough technique combining Contextual Embeddings and Hybrid Search (BM25 + Semantic) to reduce retrieval failures by up to 50%.
December 8, 2025

Before an AI Agent can take action, it needs to 'think'. This tutorial shows how to connect a Guided Mind RAG knowledge base to n8n—the first step in building a fully autonomous agent.
December 8, 2025

Is your AI agent suffering from amnesia? Learn why LLM context windows cause hallucinations and how Retrieval-Augmented Generation (RAG) fixes it without writing code.
December 8, 2025

OpenAI has just announced its latest breakthrough: the o1 model. This new iteration boasts an innovative feature called Chain of Thoughts, which allows the model to pause, reflect, and plan before responding. But what does this mean for the future of human-AI interactions?
September 13, 2024