Open SourceRAG8k
Cognee
Builds a knowledge graph plus vector store for hybrid GraphRAG.
Cognee is an open-source Python framework for building memory layers for AI agents and LLM applications. It ingests data (documents, conversations, code) and constructs queryable knowledge graphs combined with vector embeddings, replacing ad-hoc RAG pipelines with a structured, persistent memory. It supports multiple graph and vector store backends and exposes a pipeline-based API for loading, cognifying, and searching data.
Repository
topoteretes/cogneeLanguage
PythonWhat you'd build with it
- Giving an AI agent persistent, structured long-term memory across sessions instead of stateless context windows
- Building a graph-plus-vector RAG layer that links entities and facts across a document corpus for more accurate retrieval
- Turning unstructured data (chats, PDFs, code) into a queryable knowledge graph that an LLM can reason over
Tags
graphragmemoryknowledge-graph