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Description
Cognee is an innovative open-source AI memory engine that converts unprocessed data into well-structured knowledge graphs, significantly improving the precision and contextual comprehension of AI agents. It accommodates a variety of data formats, such as unstructured text, media files, PDFs, and tables, while allowing seamless integration with multiple data sources. By utilizing modular ECL pipelines, Cognee efficiently processes and organizes data, facilitating the swift retrieval of pertinent information by AI agents. It is designed to work harmoniously with both vector and graph databases and is compatible with prominent LLM frameworks, including OpenAI, LlamaIndex, and LangChain. Notable features encompass customizable storage solutions, RDF-based ontologies for intelligent data structuring, and the capability to operate on-premises, which promotes data privacy and regulatory compliance. Additionally, Cognee boasts a distributed system that is scalable and adept at managing substantial data volumes, all while aiming to minimize AI hallucinations by providing a cohesive and interconnected data environment. This makes it a vital resource for developers looking to enhance the capabilities of their AI applications.
Description
Achieve enhanced precision and control through LangGraph, enabling the creation of agents capable of efficiently managing intricate tasks. The LangGraph Platform facilitates the development and scaling of agent-driven applications.
With its adaptable framework, LangGraph accommodates various control mechanisms, including single-agent, multi-agent, hierarchical, and sequential flows, effectively addressing intricate real-world challenges. Reliability is guaranteed by the straightforward integration of moderation and quality loops, which ensure agents remain focused on their objectives. Additionally, LangGraph Platform allows you to create templates for your cognitive architecture, making it simple to configure tools, prompts, and models using LangGraph Platform Assistants.
Featuring inherent statefulness, LangGraph agents work in tandem with humans by drafting work for review and awaiting approval prior to executing actions. Users can easily monitor the agent’s decisions, and the "time-travel" feature enables rolling back to revisit and amend previous actions for a more accurate outcome. This flexibility ensures that the agents not only perform tasks effectively but also adapt to changing requirements and feedback.
API Access
Has API
API Access
Has API
Integrations
LangChain
Python
Amazon Web Services (AWS)
Apache Kafka
Arize AI
Chroma
Claude
Cohere
Databricks Data Intelligence Platform
E2B
Integrations
LangChain
Python
Amazon Web Services (AWS)
Apache Kafka
Arize AI
Chroma
Claude
Cohere
Databricks Data Intelligence Platform
E2B
Pricing Details
€8.50 per month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cognee
Country
Germany
Website
www.cognee.ai/
Vendor Details
Company Name
LangChain
Founded
2022
Country
United States
Website
www.langchain.com/langgraph