A retrieval-augmented system for searching and exploring technical documentation, combining hybrid search over vector embeddings with large language models to answer documentation questions, summarize technical material, and surface relevant code snippets in context.
Topics: GPT, transformers, hybrid search, vector embeddings, dynamic content discovery.
An applied implementation of the same ideas lives in the DocsGPT project.