RAG, Knowledge Graphs, and LLM Systems
22 repos
Libraries and frameworks for building retrieval-augmented generation (RAG) systems, semantic search, and knowledge graph construction powered by large language models. The cluster spans Python-dominant implementations of vector databases, graph storage, agentic retrieval pipelines, and schema inference tools—with several Rust-based systems providing performance-critical infrastructure. These repos serve engineers building AI-augmented applications that combine structured knowledge representation with LLM reasoning.
Python · 13
Rust · 5
TypeScript · 2
JavaScript · 1
knowledge-graph ·146,016
agent-memory ·126,243
social-prediction ·72,119
financial-forecasting ·72,119
future-prediction ·72,119
public-opinion-analysis ·72,119
llms ·72,119
multi-agent-simulation ·72,119
python3 ·72,119
swarm-intelligence ·72,119
