cognee

Cognee implements scalable, modular ECL (Extract, Cognify, Load) pipelines that allow you to interconnect and retrieve past conversations, documents, and audio transcriptions while reducing hallucinations, developer effort, and cost.

• Modular: Cognee is modular by nature, using tasks grouped into pipelines
• Local Setup: By default, LanceDB runs locally with NetworkX and OpenAI.
• Vector Stores: Cognee supports LanceDB, Qdrant, PGVector and Weaviate for vector storage.
• Language Models (LLMs): You can use either Anyscale or Ollama as your LLM provider.
• Graph Stores: In addition to NetworkX, Neo4j is also supported for graph storage.

• Memory for AI Agents
• Ontology definition
• Entity resolution
• Chatbot memory