Enables cross-lingual semantic search over local documents, allowing users to query in one language and retrieve relevant content in another without translation.
Enables fully local, cross-lingual retrieval over documents and source code by indexing files and providing search and ingest tools, with all data staying on the machine.
Semantic search and retrieval system for local documents using vector embeddings, enabling AI-powered search across your document collections with support for multiple embedding providers.
Enables AI assistants to search through structured databases and unstructured content (documents, videos, files) using natural language queries with semantic understanding.