An AI that answers questions using your company's documents

RAG projects start from USD 5,000 for a knowledge base with a defined set of documents and a chat interface. More complex projects with multiple data sources, integrations with existing systems or advanced features are scoped and priced accordingly.

RAG stands for Retrieval Augmented Generation. In simple terms: when you ask a question, the system first searches your documents for the most relevant information, then passes that information to the AI to generate an accurate answer. It's like having an assistant who has read all your documents and can find and explain any information instantly.

Yes, perfectly. Modern language models (GPT-4o, Claude) have excellent Spanish capability. Semantic searches also work well in Spanish. You can upload Spanish documents and ask questions in Spanish with high-quality results.

There's no fixed limit. The system scales to process thousands of documents of hundreds of pages each. Capacity depends on the assigned hardware. For reference: 1,000 documents of 50 pages each is perfectly manageable in a standard configuration.

The system detects when it doesn't find relevant information in the knowledge base and honestly communicates this, rather than making up an answer. This is fundamental for system reliability in a business environment.

Yes. We can integrate it as a chat widget on your intranet, connect it to your existing document management system (SharePoint, Confluence, Google Drive), or expose it as an API that other systems consume.