YoKONCy/TriviumDB

Embedded single-file knowledge graph database with vector search and full-text search for AI/RAG apps

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

A high performance Vector Database leveraging parallel graph computing

the open-source Context/Knowledge Layer Database

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.

RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.

The memory & storage engine for AI agents. Multi-model, edge-to-cloud, PostgreSQL-compatible.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.