Knowledge Base Chatbots
Overview
A client needed a user-friendly way to search and retrieve information from large volumes of internal documents. We developed Knowledge Base Chatbots powered by OpenAI’s API to allow users to upload PDFs or multiple CSV files simultaneously, then ask questions and receive instant, accurate responses.
Challenges
- Managing multiple file types (PDFs, CSVs) and large data sets.
- Ensuring the chatbot could interpret user questions accurately and return relevant answers.
- Maintaining a secure environment for sensitive documents and data.
Our Approach
- Data Ingestion & Preprocessing: We built a robust pipeline to process PDFs and CSVs, using parsing techniques that preserve text formatting and metadata.
- AI Integration: Leveraged OpenAI’s API to interpret user queries using natural language processing and generate contextually relevant answers.
- User-Friendly Interface: Designed an intuitive interface where users could easily upload documents, ask questions, and view real-time insights without any technical friction.
Results
- Instant Information Retrieval: Users can now quickly access specific information from thousands of pages of content.
- Improved Productivity: The chatbot significantly reduces time spent searching through documents, enabling teams to focus on higher-value tasks.
- Scalable & Secure: The solution supports multiple file types, handles increasing data volume, and ensures data privacy for each user or department.