RAG - Retrieval Augmented Generation

AI that knows your business.

Connect your LLMs to your internal data. Documentation, knowledge bases, history... Get precise answers based on YOUR information.

How RAG works

Your documents are chunked, vectorized and stored in a vector database.

PDF Word Notion Web

For each question, the most relevant passages are retrieved through semantic search.

similarity_search(query) → top_k

The LLM generates a response based on retrieved documents + its knowledge.

LLM(context + query) → answer

An assistant that instantly answers employee questions based on internal documentation.

Query your manuals, procedures and technical knowledge bases in natural language.

Search contract clauses, verify compliance, analyze legal documents.

Accelerate onboarding of new employees with an assistant that knows everything about the company.

PDF

Documents

DOC

Word

XLS

Excel

Notion

Confluence

API

Web

Let's discuss your knowledge base and the questions you want to ask.