LLM-powered Knowledge Graphs and RAG
8 repos
Libraries and frameworks for building retrieval-augmented generation (RAG) systems and knowledge graphs enhanced by large language models. These projects focus on extracting structured knowledge from unstructured data, organizing it into graph representations, and using LLMs (particularly Claude) to reason over and query that structured information. The cluster includes both general-purpose RAG pipelines and specialized systems for knowledge graph construction, entity extraction, and semantic relationship discovery.
Python · 6
JavaScript · 1
Rust · 1
knowledge-graph ·25,363
rag ·25,363
ai-agents ·21,260
llm ·18,815
ai ·18,812
python ·15,535
semantic-search ·14,845
context-engineering ·14,845
agentic-data-framework ·11,568
codebase-intelligence ·11,568
