GroundDocs
Connects Large Language Models to trusted documentation for accurate, version-specific responses.
About
GroundDocs is a version-aware documentation assistant that reduces hallucinations and ensures accurate responses by connecting Large Language Models (LLMs) to trusted, real-time documentation. It operates as a local Model Context Protocol (MCP) server, querying a private remote backend for scraping, indexing, and heavy lifting. By integrating with IDEs, GroundDocs provides contextual information to LLMs, enhancing their ability to provide relevant and up-to-date answers based on specific documentation versions.
Key Features
- Reduces LLM hallucinations
- Utilizes a local MCP server for inference-time queries
- Integrates with IDEs via MCP
- Version-aware documentation lookups
- Supports Kubernetes documentation (all versions)
- 4 GitHub stars
Use Cases
- Providing accurate and up-to-date context to LLMs for documentation-related queries
- Retrieving version-specific information about Kubernetes features
- Understanding changes in kubectl command behavior across Kubernetes versions
Sponsored