Augment AI responses with context by retrieving and processing documentation through vector search.
Sponsored
Ragdocs is a powerful tool designed to enhance AI applications with relevant documentation context. It leverages vector search to retrieve and process documentation, enabling AI assistants to provide more informed and accurate responses. Supporting both local and hosted environments, Ragdocs integrates seamlessly with various documentation sources and Large Language Models to build context-aware tooling for developers and semantic documentation search capabilities.
Características Principales
01Vector-based documentation search and retrieval
02Support for multiple documentation sources
03Support for local (Ollama) and OpenAI embeddings generation
04Automated documentation processing
05Real-time context augmentation for LLMs
0614 GitHub stars
Casos de Uso
01Building documentation-aware AI assistants
02Enhancing AI responses with relevant documentation
