Systems that unify foundational AI models, curated expert KnowledgeBases, and real-world context — delivering intelligence that is accurate, adaptive, and purpose-built.
Knowledge Agents are intelligent systems that combine three layers of knowledge to deliver precise, context-aware results:
Derived from foundation models such as GPT-4o, Claude, and Gemini, enriched with real-time web search. This layer handles broad reasoning, world knowledge, language fluency, and general problem-solving.
Custom curated sources of expert, specialized, or recent information. These KnowledgeBases encode domain-specific expertise, rules, workflows, and industry-level accuracy needed for a special-purpose task.
Awareness of where the knowledge is being applied. This includes personalization, user preferences, local constraints, task requirements, and environment-specific parameters. This layer ensures outputs are not generic — but specifically tailored, accurate, and relevant.
Knowledge Agents transform raw AI intelligence into operational intelligence. By combining general reasoning, expert knowledge, and contextual awareness, they produce results that are actionable, reliable, and aligned to the real world.
The agent interprets the user's prompt, intent, context, constraints, and local settings.
It queries the appropriate KnowledgeBases — curated expert knowledge, recent data, or specialized information relevant to the task.
The agent combines foundation model reasoning, retrieved domain knowledge, and contextual personalization to deliver a tailored output or execute an action.
Real-world implementations of the Knowledge Agent paradigm
Knowledge-Base-as-a-Service (KbaaS) prototype inspired by the Kenobi—secure, extensible, and ready for the Jedi in every org.
An open-source automation engine that turns your Notion board into a full-blown AI-powered content pipeline. Ideas go in. RAG-fueled drafts come out. You review, approve, and schedule — we post. Built with ✨ Notion + 🧠 OpenAI + ⚙️ n8n.
XPosay: Because lies don't fact-check themselves. A real-time fact-checking toolkit powered by LLMs and curated knowledge databases to counter disinformation with receipts.
A place for students to transform a pitch into a full project assisted by AI agents and allow discussion of features and people interested to help evolve the idea via comments.
A whisper voice activated LLM agent that will facilitate couples therapy and counselling sessions.
A fitness agent built on a foundation model + a small curated exercise KnowledgeBase. Users extend it with their own PDFs, workouts, mobility notes, and training plans. The agent generates personalized sessions through dialogue and guides users with interactive step-by-step exercise cards.
Upload a PDF (or scrape a page) → instantly generate a full course with lessons, reading modules, exercises, and interactive quizzes. Supports three modes: Course, Workshop, and Lesson.