GPT-4 Powered Chatbot with RAG for API Documentation Assistance

The client maintained over 50,000 REST APIs, each with complex documentation covering:

- Endpoint URLs & Methods (GET, POST, PUT, DELETE)

- Authentication & Security Guidelines

- Response Formats & Error Codes

- Usage Examples & Code Samples

Developers and integration teams faced:

1. Time-Consuming Manual Searches: Finding relevant API documentation required navigating through multiple PDFs or online portals.
2. High Learning Curve: New developers struggled to understand APIs quickly.
3. Lack of Contextual Search: Simple keyword-based search did not always return relevant documentation.

To improve developer productivity and efficiency, the company needed an AI-powered chatbot that could provide instant, context-aware responses by searching API documentation in real time using Retrieval-Augmented Generation (RAG) technology.

We developed an AI-powered chatbot using GPT-4 and the LangChain framework with a Retrieval-Augmented Generation (RAG) architecture to provide instant API documentation support. The chatbot: Processes Over Million REST API Documents, Delivers Instant, Context-Aware Answers, Supports Natural Language Queries & Continuously Improves Responses