Make your repositories searchable. Find answers across code and documentation with AI that understands engineering context.
Source code, README files, configuration, and documentation are indexed with structure-aware parsing. Search across your entire codebase by intent, not just keywords.
Pick the branch to index (typically main) and use path patterns to exclude build artifacts, vendor directories, or generated code before indexing.
Scope the index to just the file types that matter — Markdown docs, a subset of source languages, configuration files — to keep the index focused and fast.
Point a GitHub repository webhook at ZenSearch and pushes to the indexed branch trigger incremental reindex, keeping search current with the codebase.
Works with GitHub.com, GitHub Enterprise Cloud, and GitHub Enterprise Server. Authenticate via personal access tokens or OAuth.
Authenticate your account and select the resources to index. ZenSearch handles OAuth, API keys, and enterprise SSO.
ZenSearch parses, chunks, and vectorizes your content. Incremental sync keeps everything up to date automatically.
Your team searches across all connected sources with AI-powered semantic search, chat, and agents.
Once GitHub is connected, your team can ask natural-language questions and get cited answers instantly.
“How does the authentication middleware handle token refresh?”
ZenSearch finds the relevant source files where the token refresh logic is implemented, returning code snippets with explanations drawn from the surrounding code and comments.
“Where do we document the API rate-limit policy?”
Surfaces the Markdown doc or README section that covers the policy, even if it lives deep in a subdirectory you hadn't remembered.
“Which repositories use the shared logging library?”
Scans import statements and dependency files across all indexed repos to identify consumers of the logging package.