I will build custom ai agents and advanced rag chatbots for your data


Over deze dienst
Are you looking to automate your business operations, cut customer support costs, or launch a profitable AI software application? You need a specialized AI Solution, not a generic prompt script.
I build high-performance, intelligent AI Agents and RAG (Retrieval-Augmented Generation) Chatbots that securely connect to your custom business documents, databases, and application workflows. Whether you need to talk to complex company PDFs, synthesize database tables, or automate complex multi-step workflows, I have you covered.
The Technical Stack I Use:
Frameworks: LangChain, LlamaIndex, CrewAI
LLM Integrations: OpenAI GPT API, Claude, Ollama (Local Models)
Vector Databases: Pinecone, ChromaDB, Weaviate
Backend & Code: Python, FastAPI, Streamlit, Gradio
Use Cases I Can Build for You:
Document Intelligence: A chatbot that searches across thousands of company PDFs, contracts, or financial sheets to give instant, cited answers.
Autonomous AI Agents: Systems that can check emails, fetch live tools, query external APIs, and execute background logic without human intervention.
Custom AI SaaS MVP
Please drop me a message with your project scope before ordering!!!
Maak kennis met Frida S
- Afkomstig uitVerenigde Staten
- Lid sindsdec 2025
- Gem. reactietijd2 uur
Talen
Engels, Frans
Veelgestelde vragen
Will I need my own API keys, or are token costs included in the price?
You will need to provide your own API keys (such as OpenAI, Anthropic, or Pinecone) for deployment, as ongoing usage costs are billed directly to your account. During development, I can use my keys for testing. If you prefer to avoid ongoing token bills altogether, I can build your system using free
Is my company data safe? Will my private documents be used to train public AI models?
Data privacy is a top priority. When we use corporate APIs (like OpenAI Enterprise or Claude API), your uploaded data is strictly encrypted and never used to train public models. For maximum security, we can deploy the entire RAG pipeline locally on your private servers using open-source models
What is the difference between a simple Chatbot and an AI Agent?
A basic RAG Chatbot is reactive; it reads your documents and answers user questions based on that data. An Autonomous AI Agent is proactive; it can execute multi-step tasks. For example, an agent can read an incoming customer query, fetch live data from your internal CRM, write a custom response.
What type of data files can your RAG system read and understand?
The ingestion pipeline can handle almost any structured or unstructured data format. This includes PDFs, Word documents (.docx), CSV spreadsheets, JSON files, TXT logs, SQL databases, and even live web pages or Notion workspaces. I optimize the system to parse and chunk your specific file types....
Can you integrate this AI tool into my existing website or application interface?
Yes. In the Standard and Premium packages, I build functional, modern interfaces using Streamlit, Gradio, or a clean web frontend. If you already have a live website, mobile app, or internal dashboard, I can package the AI logic into a custom FastAPI backend, allowing your existing development team

