GitHub

A graph-native memory system for AI agents. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning -- all backed by Neo4j.

neo4j-labs/agent-memory ships two SDKs with the same memory model, both backed by the NAMS hosted service. Pick the one that matches your stack — mixed Python + TypeScript agents read and write the ...

Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
Lablab.ai

Qualcomm x Meta ExecuTorch Hackathon

Join Qualcomm x Meta ExecuTorch Hackathon, a free AI hackathon. Ends Jun 28, 2026. Build real AI apps and connect with ...
GitHub

GraphRAG system for querying drug interactions and adverse events using FDA data.

The diagram below shows the Classic Mode pipeline. In Agent and Multi-Agent modes, the Query Engine is replaced by a LangGraph ReAct agent that autonomously selects tools from the same knowledge ...