- AI Agent Memory
Cognee builds scalable, modular ECL pipelines for easy data retrieval while reducing hallucinations and costs.
- Free
- Open Source
- Technology
cognee
empowers professionals like
- Chatbots Ontology Management Virtual Assistants
cognee
Introduction
Cognee designs modular, scalable ECL (Extract, Cognify, Load) pipelines, enabling seamless retrieval of past conversations, documents, and audio transcriptions. By minimizing hallucinations, developer effort, and costs, it streamlines data interconnectivity.
cognee
Features
✨ Modular
Cognee is designed with a modular approach, organizing tasks into pipelines for flexibility and scalability.
✨ Local Setup
LanceDB operates locally by default, integrating seamlessly with NetworkX and OpenAI.
✨ Vector Stores
Supports multiple vector storage options, including LanceDB, Qdrant, PGVector, and Weaviate.
✨ Language Models (LLMs)
Offers compatibility with Anyscale and Ollama as LLM providers for enhanced AI capabilities.
✨ Graph Stores
Beyond NetworkX, Cognee also supports Neo4j for efficient graph storage solutions.
cognee
Use Cases
✓ Memory for AI Agents
Enhances AI agents with long-term memory, enabling better contextual understanding and recall.
✓ Ontology Definition
Defines structured relationships between concepts, improving data organization and semantic search.
✓ Entity Resolution
Identifies and links related entities across different datasets, ensuring consistency and accuracy.
✓ Chatbot Memory
Stores past interactions, allowing chatbots to deliver more personalized and context-aware responses.
