The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Your company probably doesn’t need another generic AI chatbot. It needs an AI that knows your business.
Most businesses already have the information an AI assistant needs—PDFs, FAQs, documentation, website content, internal knowledge.
The challenge is making an LLM use that information reliably.
That’s where RAG (Retrieval-Augmented Generation) comes in:
Your documents → retrieval → relevant context → LLM → grounded response
I recently built AgriSense AI, a RAG-based agronomy advisor using Gemini, vector search, and Streamlit.
Try the live demo: https://agrofarm-ai.streamlit.app/
The goal wasn’t simply to connect an LLM to a chat interface. It was to make the system retrieve relevant knowledge before generating a response.
This same architecture can be adapted for:
customer-support assistants, internal knowledge bases, document Q&A, FAQ systems, and research assistants.
What would you want an AI assistant to know about your business?
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Looking to Build a RAG Chatbot for Your Business?
I can help you build and integrate AI-powered RAG chatbots into your existing systems.
Whether you want to:
Build a custom RAG chatbot trained on your documents and business data.
Integrate an AI chatbot into your website or existing application.
Connect LLMs with your internal databases, APIs, and tools.
Develop intelligent AI agents with LangChain, LangGraph, and MCP.
Improve your existing chatbot's accuracy and reliability.
If you're planning to build a RAG chatbot or integrate AI into your existing system, feel free to reach out. Let's discuss your idea and make it happen!
Designed a modern AI Research Agent SaaS Web App.
A clean white workspace with soft gray panels, simple icons, and calm blue accents for a focused and professional first impression.
A chat thread where the agent shows its plan step by step, live progress for parallel tasks, and a smart sheet that fills itself row by row with cited sources make complex research feel clear and trustworthy. A simple sidebar, credits tracker, and familiar table tools keep the whole app easy to use.
Great work!
DeskcommCRM — CRM de WhatsApp con Agente de IA
Implementación y configuración de un CRM de atención al cliente vía WhatsApp con agente de IA integrado: enrutamiento automático de conversaciones, seguimientos, base de conocimiento, gestión de casos y embudos de venta. Stack: Next.js, Supabase, WAHA (WhatsApp), Redis.
