About Knowledge Raven

Our Mission

We believe company knowledge should be effortless — not an IT project. Knowledge Raven abstracts away all the technical complexity of document processing, embedding, indexing, and retrieval so teams can focus on what matters: getting answers.

The Problem We Solve

Classic RAG systems deliver chunks that are too small and too few results. This is insufficient for questions that require broad knowledge across many documents. Knowledge Raven solves this with Agentic RAG — the AI agent dynamically controls retrieval, searching broadly, fetching specific sections, and re-searching as needed until it has enough context for a well-founded answer.

Our Approach

Knowledge Raven is model-agnostic by design. Instead of building yet another chatbot, we provide MCP tools that work with any LLM. This means you're never locked into a single AI provider. Connect Claude, GPT, Gemini, or any MCP-compatible agent — they all get the same powerful search and retrieval capabilities.

Founded by

Knowledge Raven is built by Pascal Meger — driven by the conviction that making knowledge accessible shouldn't require a team of engineers. Simplicity is our core promise.