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Average Ratings 0 Ratings

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features
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support

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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

DeepEval offers an intuitive open-source framework designed for the assessment and testing of large language model systems, similar to what Pytest does but tailored specifically for evaluating LLM outputs. It leverages cutting-edge research to measure various performance metrics, including G-Eval, hallucinations, answer relevancy, and RAGAS, utilizing LLMs and a range of other NLP models that operate directly on your local machine. This tool is versatile enough to support applications developed through methods like RAG, fine-tuning, LangChain, or LlamaIndex. By using DeepEval, you can systematically explore the best hyperparameters to enhance your RAG workflow, mitigate prompt drift, or confidently shift from OpenAI services to self-hosting your Llama2 model. Additionally, the framework features capabilities for synthetic dataset creation using advanced evolutionary techniques and integrates smoothly with well-known frameworks, making it an essential asset for efficient benchmarking and optimization of LLM systems. Its comprehensive nature ensures that developers can maximize the potential of their LLM applications across various contexts.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

LangChain Yes 
LlamaIndex Yes 
OpenAI Yes 
Azure AI Search Yes 
Claude Code Yes 
Cline Yes 
CrewAI Yes 
Cursor Yes 
Hugging Face No 
LanceDB Yes 
Llama 2 No 
Milvus Yes 
Neo4j Yes 
Opik No 
PostgreSQL Yes 
Ragas No 
Redis Yes 
SAP HANA Yes 
Snowflake Yes 
Weaviate No 

Integrations

LangChain Yes 
LlamaIndex Yes 
OpenAI Yes 
Azure AI Search No 
Claude Code No 
Cline No 
CrewAI No 
Cursor No 
Hugging Face Yes 
LanceDB No 
Llama 2 Yes 
Milvus No 
Neo4j No 
Opik Yes 
PostgreSQL No 
Ragas Yes 
Redis No 
SAP HANA No 
Snowflake No 
Weaviate Yes 

Pricing Details

$25 per month
beta pricing
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Cognee

Country

Germany

Website

www.cognee.ai/

Vendor Details

Company Name

Confident AI

Country

United States

Website

docs.confident-ai.com

Product Features

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