RAG & Knowledge Base
An AI that answers questions using your company's documents
RAG (Retrieval Augmented Generation) lets you ask natural language questions about your PDFs, manuals, contracts and internal databases. Accurate answers with source citations. 100% private.
Benefits
Why Deepyze for your RAG & Knowledge Base?
We work with industry best practices to guarantee real results.
AI that answers from your documents
The system doesn't hallucinate. It searches your knowledge base, finds relevant information and uses it to respond. Answers are specific to your company, not generic.
Answers with source citations
Each answer includes a reference to the document, page or section where the information comes from. Users can verify and dive deeper into the original source.
PDFs, Word, Excel and databases
We process virtually any document format: PDFs, Word, Excel, PowerPoint, internal web pages, database tables and management systems.
100% private, your data stays in-house
The system can be deployed entirely within your own infrastructure. Your confidential documents never leave your company or reach third-party servers.
Updates with your documents
When you upload a new document or update an existing one, the system processes it automatically. The knowledge base is always current with no manual work.
Reduce repetitive queries
Employees stop interrupting experts with questions already answered in some manual or procedure. The AI responds instantly, at any time of day.
Process
How we build your RAG & Knowledge Base
A clear and transparent method so you always know which stage your project is at.
- 1
Documentation inventory
We inventory all relevant documents: manuals, procedures, contracts, internal FAQs, existing knowledge bases. We define what enters the system.
- 2
Processing and indexing
We process documents, split them into semantic chunks, generate vector embeddings and index them in the vector database. The system is ready for queries.
- 3
Query interface development
We build the chat or search interface, retrieval system, answer generation pipeline and source citation logic. Testing with real questions from your team.
- 4
Deployment and training
We deploy to production (on-premise or private cloud), train the team and configure the document update process. Post-launch support included.
Pricing
How much does it cost?
It depends on the scope: we define it together in a free discovery meeting and send you a fixed-price proposal.
FAQ
Frequently asked questions about RAG & Knowledge Base
How much does a RAG system cost?
It depends on the scope: we define it together in a free discovery meeting and send you a fixed-price proposal.
What is RAG in plain language?
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.
Does it work well in Spanish?
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.
How many documents can it process?
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.
What happens if the answer isn't in the documents?
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.
Can it integrate with our existing system or intranet?
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.
Products we built
Our own software, running in production
- Fixed price
- We quote with closed scope and price. You know what it costs from day one, no surprises.
- The code is 100% yours
- When we finish, the repository, the infrastructure and the documentation are entirely in your name.
- Same time zone
- We work South American business hours. Meetings and answers with no time-zone delays.
- Proposal in 24-48 h
- After the first meeting you get a detailed written proposal, with no commitment and no fine print.
Damián Oliva
Founder of Deepyze
You work directly with the person who builds. Years building digital products in LATAM, Google Cloud Machine Learning certified.
Meet the founderReady to start your RAG & Knowledge Base project?
Tell us your idea and we'll prepare a no-commitment proposal in 24 hours.