AI product Open source
Utopia is a self-hosted enterprise knowledge platform from DeepLethe, implemented as a Rust binary with a PostgreSQL service using pgvector. It ingests documents and synchronized web, RSS, GitHub, and Jira sources, then combines Tantivy full-text search with pgvector retrieval through reciprocal-rank fusion; its chat answers include inline citations linking to source passages and can use OpenAI-compatible endpoints.
Its knowledge model is a bitemporal graph: extracted entities and facts retain validity intervals, evidence, and revision history, so corrections link new facts to closed versions instead of overwriting them. An editable ontology drives three-stage entity resolution, temporal Datalog forward-chaining, provenance-preserving derivation, conflict detection, and ontology-driven queries over mounted PostgreSQL databases. Low-confidence extractions, entity-merge candidates, and cardinality conflicts enter a review queue, while decisions such as confirmations, rejections, merges, and graph rebuilds are recorded in a queryable ledger. The application includes a browser console, graph browser, ontology workbench, and multi-user knowledge-base permissions, and can be deployed offline with Docker. The repository identifies the project as version 0.1 and licenses it under Apache-2.0.
2 uses taken from transcripts — each links to the moment in the video.
A self-hosted RAG platform that tracks when facts were true, supports hybrid full-text and vector search, cites source passages, and queues low-confidence extractions for review.
An open-source, self-hosted knowledge platform that combines retrieval-augmented generation with a knowledge graph whose facts have validity intervals. It ingests documents and feeds, supports full-text and vector search, and provides cited answers that can run against air-gapped model endpoints.
2 in the library.