via “semantic search and retrieval over ingested content”
** - Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a searchable [Graphlit](https://www.graphlit.com) project.
Unique: Integrates semantic search as a first-class MCP tool rather than requiring separate API calls, enabling IDE-native retrieval workflows. Searches across heterogeneous content types (documents, messages, transcriptions, code) with unified ranking, whereas most RAG systems require separate indices per content type.
vs others: Provides semantic search over multi-source knowledge bases (Slack + email + docs + code) in a single query, whereas alternatives like Pinecone or Weaviate require custom ETL to normalize content types before indexing.