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Triviumdb

TriviumDB is a Rust embedded database engine that stores and retrieves vector data, graph relationships and document-oriented metadata in one storage kernel.

Independent OpenViST project profile, based on linked sources.

Triviumdb — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use TriviumDB when an application running on a single machine needs vector retrieval, graph relationships and document metadata in the same embedded database.

Who it is for

  • Developers building single-machine RAG applications that need semantic search alongside document metadata.
  • AI-agent developers storing conversation memories as vector-bearing records connected by relationships.
  • Application developers who want an embedded database with vector, graph and document capabilities.

Documented uses

  • Store embeddings together with source text or other JSON metadata.
  • Represent relationships among stored entities as graph links.
  • Retrieve semantically similar records and expand results through connected graph data.
  • Keep an application's AI context in an embedded store rather than coordinating separate vector, graph and document databases.
Before you choose

Requirements & limits

  • The database is positioned for embedded, single-machine workloads rather than large distributed backends.
  • Rust is the core implementation language; the README documents Python and Node.js bindings.
  • Rom mode uses a single .tdb file, while Mmap mode uses separate vector and payload sidecar files.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install TriviumDB for Python

Install the TriviumDB Python package using pip or uv.

Before you start

  • Python 3.9+.

Steps

  1. Choose either uv or pip as the installer.

  2. Run the command below or the command below.

    Documented command
    uv pip install triviumdb
    Documented command
    pip install triviumdb

Expected outcome

The TriviumDB Python package is installed.

Guide limitations

  • These steps cover installation only, not database creation or querying.
  • The repository positions TriviumDB for embedded, single-machine use rather than highly concurrent distributed backends.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
YoKONCy/TriviumDB · Official homepage title · retained in its source language