CustomGPT.ai

Automatically ingest and process multiple document formats (PDF, Word, text files) to create a knowledge base that powers chatbot responses. The system extracts relevant information from uploaded documents and uses it to ground chatbot answers in actual business content.

Automatically crawl and extract content from websites to populate the chatbot's knowledge base. This capability eliminates manual content entry by discovering and indexing web pages as training material.

Use natural language understanding to search the knowledge base for relevant information, finding answers even when exact keyword matches don't exist. Returns the most contextually relevant documents or passages.

Process user questions and retrieve precise answers directly from the trained knowledge base, ensuring responses are grounded in actual business information rather than generating hallucinated content. Uses semantic search to find the most relevant context.

Deploy a customizable chat widget directly on websites without requiring backend infrastructure or coding. The widget handles user interactions, message routing, and integrates seamlessly with the CustomGPT backend.

Expose chatbot functionality via REST API endpoints for custom application integrations. Allows developers to build proprietary interfaces or integrate the chatbot into existing systems beyond standard web widgets.

Parse and extract text from multiple document formats including PDFs, Word documents, and plain text files. Handles different encoding, formatting, and structure variations to create a unified knowledge base.

Maintain and store conversation logs between users and the chatbot, enabling review of interactions, quality assurance, and continuous improvement. Provides visibility into what questions users are asking and how the chatbot is responding.

Track changes to the knowledge base as documents are added, updated, or removed. Allows users to manage different versions of their training data and understand how the chatbot's knowledge has evolved.

Set up and configure a fully functional chatbot through a visual interface without writing any code. Includes options for naming the chatbot, setting response tone, and configuring basic behavior parameters.

Automatically handle incoming customer questions by routing them to the chatbot first, reducing the volume of tickets that reach human support agents. Provides instant responses to common questions and escalates complex issues.