cognee
Memory for AI Agents in 5 lines of code
Listed in categories:
SDKArtificial IntelligenceOpen Source
Description
Cognee is an AI-powered data engine designed to enhance the accuracy of AI agent responses by logically mapping out data. It helps users manage various types of data, including unstructured text and raw media files, to improve the reliability of AI outputs and reduce hallucinations in AI responses.
How to use cognee?
To use Cognee, simply upload your data sources, which can include various formats like PDFs and tables. Cognee will then create a knowledge graph that organizes your data, allowing AI agents to access and respond to queries accurately.
Core features of cognee:
1️⃣
AI Memory with 90% accuracy out of the box
2️⃣
Customizable storage options for various database providers
3️⃣
RDF-based ontologies for smarter data management
4️⃣
On-premise deployment for data security
5️⃣
Scalable distributed system for handling large data loads
Why could be used cognee?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Improving customer engagement through personalized AI responses | ✅ | |
| # 2 | Enhancing chatbot interactions with relevant user data | ✅ | |
| # 3 | Generating accurate content summaries and translations | ✅ | |
Who developed cognee?
Cognee is developed by a team led by Vasilije Markovic, focusing on creating open-source solutions that enhance AI capabilities while ensuring data security and compliance. The team emphasizes community involvement and transparency in their development process.