Builds and maintains semantic indexes of your codebase so agents can retrieve relevant context — file relationships, symbol usage, historical decisions — without re-parsing everything on every query.
Use cases
- Large codebase navigation
- Dependency discovery
- Historical context retrieval
- RAG for code
Key features
- Choose indexing granularity
- Build symbol and import map
- Add semantic layer for concept retrieval
- Refresh incrementally
Related
Related
3 Indexed items
RAG implementation
Builds retrieval-augmented generation pipelines: document chunking, embedding, indexing, reranking, and answer synthesis—so assistants ground responses in your own data instead of generic training knowledge.
API design and versioning
Shapes REST or RPC surfaces with predictable errors, pagination, and deprecation rules before implementation locks you into brittle clients.
Contract testing
Locks API expectations between services with consumer-driven contracts so refactors fail in CI instead of during a coordinated deploy weekend.