Overview
Ask Agent is a powerful AI platform that allows users to convert any website or document into a context-aware chatbot. Using advanced web scraping with Puppeteer and Retrieval-Augmented Generation (RAG) with LangChain, the platform creates intelligent chatbots that can answer questions based on the ingested content.
Technologies Used
Key Features
Web Content Ingestion
Automatically scrapes and parses any website using Puppeteer for comprehensive content extraction.
Vector-based Knowledge System
Stores and retrieves information efficiently using QdrantDB vector database for semantic search.
RAG Implementation
Implemented Retrieval-Augmented Generation for accurate, context-aware responses.
Embeddable Widget
One-step embeddable chatbot widget for easy integration into any website.
Real-time Responses
Instant, accurate responses including summaries and high-level queries.
Document Support
Support for PDF, Word, and other document formats alongside web content.
Challenges Faced
- •Handling large websites with thousands of pages efficiently
- •Optimizing vector search for low-latency responses
- •Managing rate limits and costs with OpenAI API
- •Creating a seamless widget integration experience
Key Learnings
- •Deep understanding of RAG architecture and best practices
- •Vector database optimization techniques
- •Building production-ready AI applications
- •Efficient web scraping and content parsing strategies