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I will build a private ai knowledge base with rag for your business
Carlos B
Über diesen Service
Turn your company documents into a private AI knowledge system.
I build custom RAG-based knowledge bases that let employees or customers query internal information in natural language, grounded in your actual documents.
I can work with PDFs, manuals, internal procedures, onboarding material, FAQs, product documentation, Google Drive and similar knowledge sources. The system can include document ingestion, chunking, embeddings, vector search, retrieval-augmented generation, a custom frontend/backend and API integrations with business tools.
Typical use cases:
- Internal employee knowledge base
- Technical documentation assistant
- Onboarding assistant
- Customer-support knowledge system
- Searchable company procedures
- Private document Q&A
Depending on your project, deployment can run on a private VPS or controlled infrastructure, with support for multiple LLM providers and a provider-agnostic architecture where appropriate.
Every business has different data and infrastructure. Please contact me before ordering Standard or Premium if you need complex integrations, authentication, large document volumes, regulated data or on-premise deployment.
Lerne Carlos B kennen
Carlos B
AI Automation and Integration Engineer
- AusItalien
- Mitglied seitSept. 2014
Sprachen
Spanisch, Englisch, Italienisch
I build custom AI automation and backend integrations for businesses that need to connect systems, reduce repetitive work, and create reliable workflows. My work includes private RAG knowledge bases, AI email classification and routing, API and webhook integrations, CRM/ERP workflows, document and data processing, and backend automation. I use AI where semantic reasoning adds value and deterministic logic where reliability matters. Core technologies include Python, TypeScript, JavaScript, REST APIs, webhooks, LLMs, and vector search.
FAQ
What is RAG?
Retrieval-Augmented Generation lets an AI system retrieve relevant information from your own documents before generating an answer, reducing dependence on generic model knowledge.
Can you use my existing documents?
Yes. Depending on the package, the system can ingest PDFs, manuals, procedures, FAQs and other structured or unstructured company documentation.
Can the system run privately?
Yes. Private VPS and controlled deployments are available. Fully on-premise or regulated environments require a custom scope.
Can you integrate it with our existing tools?
Yes. API integrations can be added depending on the selected package and the systems involved.
Which AI model do you use?
The architecture can work with different model providers depending on privacy, performance, cost and infrastructure requirements.
Is this just a chatbot?
No. The core service is the knowledge architecture: ingestion, retrieval, vector search, RAG and integration with your business information.
