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Build a Custom AI Agent with Knowledge Base in Minutes | FutureSmart Agent Platform

Pradip Nichite16 June 2026Watch on YouTube

Part of series

Ep. 3 · Agent Futuresmart Platform

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Description

Learn how to create a custom AI agent using the FutureSmart Agent platform — from agent setup and LLM configuration to knowledge base management, metadata extraction, and website deployment. In this video, you'll see how to: → Create an agent with your choice of LLM provider and model → Configure a knowledge base with embedding models and metadata extraction → Upload documents via text, URLs, or files with optional chunking and OCR → Test the agent in the conversations playground with source verification → Customize and deploy the chat widget on your website using a script tag or iframe This is the base platform our clients get when we build custom AI systems — on top of this, we integrate with your databases, CRMs like Odoo, or support systems like Freshdesk. Want a custom AI agent built for your business? Email us at contact@futuresmart.ai #AIAgent #CustomChatbot #FutureSmartAI #KnowledgeBase #RAG #AIplatform

What you'll learn

  • Learn how to build a custom AI agent through the FutureSmart platform, including LLM selection and configuration
  • See how to set up a knowledge base with embedding models and automatic metadata extraction
  • Discover how to upload documents via text, URLs or files, with options for chunking and OCR
  • Learn how to test your AI agent in the conversations playground and verify results with source citations
  • See how to customize and integrate the chatbot on your website using a script tag or iframe

Frequently asked questions

What document formats can you upload to your knowledge base?
You can upload documents via direct text, URLs from websites, or file formats. The platform offers optional chunking and OCR functionality for better processing.
How do you test the AI agent before going live?
You test the agent in the conversations playground, where you can see source verification. This allows you to check performance before deploying the chatbot.
What are the ways to integrate the chatbot on your website?
You can customize and deploy the chatbot using a script tag or iframe, enabling flexible integration on your website.
What is RAG and how is it used in this AI agent?
RAG (Retrieval-Augmented Generation) is the system that allows the AI agent to retrieve information from your knowledge base to provide more accurate answers. The platform configures this automatically with embedding models and metadata extraction.

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