graph-database

QilbeeDB is a cloud-agnostic, high-performance graph database built for autonomous AI agents, real-time memory, and enterprise automation.

🧠 Predictable, embedded multimodal vector database & offline RAG engine for Edge AI (ARM64 / Zero-OOM). Built in C++20.

Code from the ODSC Agentic Graph RAG workshop combining vector, FTS & graph retrieval for RAG. Includes observability and guardrails for evaluating outputs.

Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀

Open-source persistent memory infrastructure for LLM applications.🐬

The data layer for AI with Vector, Graph and Vector-Math built into one single rust engine

⚡ High-performance multi-model knowledge graph database written in Rust. SQL, Cypher & Gremlin queries · 11 graph algorithms · AI/ML with HNSW vectors · REST API · Zero GC · Blazingly fast.