Languages

ContextIQ parses code in tiers. Run tokengraph langs to list every language and its tier for your install.

Deep parse (full graph) — 25+ languages

A full call / import / inheritance graph, with doc comments carried across:

Python (via the stdlib ast) and, via tree-sitter: Java · Go · TypeScript · JavaScript · C · C++ · C# · Rust · PHP · Ruby · Kotlin · Swift · Scala · Lua · Bash · Solidity · Perl · Erlang · Julia · R · Haskell · OCaml · Nim · PowerShell · Dart.

Every deep-parsed language falls back to regex when its tree-sitter grammar isn't installed.

Regex index — 30+ more languages

Lightweight symbol indexing for: SQL · Elixir · Clojure · F# · Groovy · Zig · Crystal · Haxe · Objective-C · Visual Basic · Tcl · Pascal · GDScript, and markup/config — Vue, Svelte, HTML, CSS, YAML, TOML, XML, INI, GraphQL, Terraform, Protobuf, Markdown, Dockerfile, and more.

Doc comments everywhere

Symbols carry their doc comments across every language — godoc, rustdoc, Javadoc, JSDoc, TSDoc, not just Python docstrings — so semantic search finds code by what it does, even when the identifier is opaque.

Check your install

tokengraph langs                    # languages by extraction tier
tokengraph diagnose-extractors      # self-test every extractor (CI gate)

Next steps

• Find code by meaning: Retrieval → semantic
• Whole-repo language mix: tokengraph arch in the CLI reference