Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco DBs. 13 data sources (9 auto-sync), KG auto-building, Ontologies, LLMs, Docling, LlamaParse, LiteParse, GraphRAG, RAG, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, FastAPI REST, MCP Server, optional Langflow.

RoboSystems is a financial intelligence platform that unifies structured data, document search, and AI memory to transform complex financial data into actionable intelligence. Fork-ready with full GitHub Actions CI/CD for deploying CloudFormation infrastructure to your AWS account.

Benchmark suite for graph databases. Built to compare Grafeo with Neo4j, Memgraph, ArangoDB, FalkorDB, Nebula Graph and LadybugDB.

A second brain in 3D: local-first hybrid graph-RAG. Flat vector search → graph traversal. Embedded DuckDB + LadybugDB, Ollama, NetworkX. Makes small local models punch above their weight via context efficiency.

A rag + rag-graph native code intelligence layer for Java microservice estates, exposed to LLM agents via the Model Context Protocol (MCP)

Thin Rust knowledge-graph service over LadybugDB. Logical successor to the Python graphiti fork.

nodejs bindings for ladybugdb

Git mirror for the Ruby binding for the LadybugDB embedded graph database

Interactive graph visualization for Python notebooks.

A Spring Data-like integration framework for [LadybugDB](https://ladybugdb.com), providing familiar Spring patterns for graph database operations.

Public design handbook for building a trustworthy enterprise RAG system with hybrid retrieval, evidence ledgers, graph context, and MCP serving.

Proof of concept — agentic RAG over a Kimball-modelled property graph of OpenML experiment data. Claude Agent SDK orchestrator routes queries across three tools (Cypher / semantic / aggregate) against an embedded LadybugDB store with native HNSW. Local-only, no API billing.