Ultra-fast, zero-cost context for every agent.
The research, tools, and companies driving the convergence of knowledge graphs, AI agents, and code intelligence.
Meta Engineering • April 2026
Meta deployed 50+ specialized AI agents to systematically read every file across 4 repositories and 3 languages, producing 59 concise context files that encode tribal knowledge previously locked in engineers' heads.
arXiv:2603.27277 • DeusData
A high-performance code intelligence engine that indexes codebases into persistent knowledge graphs. Full-indexes an average repository in milliseconds; the Linux kernel (28M LOC, 75K files) in 3 minutes.
Neo4j • March 2026
Neo4j's definitive explainer on GraphRAG — the retrieval pattern that uses knowledge graphs to overcome the limitations of vector-only RAG by navigating relationships and providing traceable, multi-hop answers.
graphrag.com • Neo4j
The open-source reference catalog of GraphRAG retrieval patterns and their required graph data models. Covers basic retrievers, advanced patterns, and knowledge graph models for production RAG systems.
Ultra-fast Graph Database for GenAI
An open-source, multi-tenant graph database purpose-built for GraphRAG and agent memory. Uses sparse matrices and linear algebra for queries with AVX acceleration. 496x faster latency than Neo4j in benchmarks.
Palantir Technologies
Palantir's Ontology is the semantic layer that maps real-world objects, relationships, and actions onto data — enabling AI-powered automation across defense, healthcare, manufacturing, and finance at enterprise scale.
Embedded Graph Database • Acquired 2025
Kùzu is a high-performance, embeddable graph database built on columnar storage and vectorized execution. Apple acquired Kùzu for its ability to run complex graph queries locally without network overhead.
Open Source • GitHub
An open-source tool that converts codebases into structured knowledge graphs. Parses source code into nodes (files, functions, classes) and edges (calls, imports, inheritance) for AI-assisted code understanding.