Create a vector index for semantic code search by generating embeddings with tree-sitter and Jina AI, enabling efficient and accurate querying of source code files.
Search enterprise codebases using semantic AI to find relevant code snippets across local projects and Git repositories based on natural language queries.
Discover design patterns for programming problems using semantic search. Describe your challenge in natural language to receive pattern recommendations with implementation examples.
Identify design patterns for programming problems using semantic search. Describe your challenge in natural language to get pattern recommendations with implementation examples.
An MCP server that integrates AI assistants like Claude with GitLab's merge requests, allowing them to review code changes, add comments, and approve/unapprove merge requests directly through the GitLab API.
Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.
Enables AI agents to perform semantic search over codebases by converting natural language queries into efficient search patterns like grep and ripgrep. It utilizes LLMs to verify relevance and find code snippets that traditional keyword-based searches might miss.