I will build ai agent and rag chatbot using langchain


About this gig
Are you a non-technical founder with an app idea, wireframes, or designs, but need someone to build the smart AI features under the hood?
I build the "Invisible Brain" backends that turn static app concepts into intelligent, working products.
Whether you are launching a new startup or adding AI features to your existing web or mobile app, I deliver clean, reliable backend connections that bring your user interface to life.
What I Can Build For Your App:
- Smart Data Chatbots: Connect your app to custom PDFs, documents, or databases so your AI answers user questions accurately using your company data.
- Autonomous AI Agents: Build smart features that take multi-step actions, remember past user chats, search the web, and connect to outside tools.
- Ready-to-Connect Backend: Expose simple, clean API connections that your frontend developer or no-code tool (Bubble, FlutterFlow) can easily hook into.
- Cost Controls: Set up smart budget rules so your monthly AI API bills stay low and predictable.
- Please send me a message with your app idea or wireframes before placing an order so we can choose the best setup for your goals!
Get to know akinkunmi
Full Stack Developer AI Websites And SaaS MVPs
- FromNigeria
- Member sinceJan 2026
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
Do I need to provide my own API keys and database credentials?
Yes. You will provide your own OpenAI/Anthropic keys and vector database credentials. I will set up environment variables (.env) so your secrets are never hardcoded or exposed.
I cannot code. How do I connect this backend to my app frontend?
I wrap all AI logic inside a standardized FastAPI REST service. I provide clear interactive API documentation (Swagger/Postman) so your frontend developer or no-code builder (Bubble, FlutterFlow, Webflow) can connect with standard web requests.
Can you connect my chatbot to my company's custom PDFs and data?
Absolutely. That is what a RAG (Retrieval-Augmented Generation) pipeline does. I process, chunk, and embed your custom documents into a vector database so the AI answers questions exclusively using your data.
What is the difference between a RAG Chatbot and an Autonomous AI Agent?
A RAG chatbot retrieves information from your documents to answer questions. An Autonomous Agent (built with LangGraph) goes a step further: it can reason, execute multi-step workflows, call external APIs, search the web, and take actions automatically.