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What is Epsilla?

Manages the entire lifecycle of creating, testing, launching, and maintaining LLM applications smoothly, thereby removing the requirement for multiple system integrations. This strategy guarantees an optimal total cost of ownership (TCO). It utilizes a vector database and search engine that outperforms all key competitors, featuring query latency that is ten times quicker, query throughput that is five times higher, and costs that are three times lower. This system exemplifies a state-of-the-art data and knowledge infrastructure capable of effectively managing vast amounts of both unstructured and structured multi-modal data. With this solution, you can ensure that obsolete information will never pose a problem. Integrating advanced, modular, agentic RAG and GraphRAG techniques becomes effortless, eliminating the need for intricate plumbing code. Through CI/CD-style evaluations, you can confidently adjust the configuration of your AI applications without worrying about potential regressions. This capability accelerates your iteration process, enabling production transitions in a matter of days instead of months. Furthermore, it includes precise access control based on roles and privileges, which helps maintain security throughout the development cycle. This all-encompassing framework not only boosts operational efficiency but also nurtures a more responsive and adaptable development environment, making it ideal for fast-paced projects. With this innovative approach, teams can focus more on creativity and problem-solving rather than on technical constraints.

What is Cognee?

Cognee stands out as a pioneering open-source AI memory engine that transforms raw data into meticulously organized knowledge graphs, thereby enhancing the accuracy and contextual understanding of AI systems. It supports an array of data types, including unstructured text, multimedia content, PDFs, and spreadsheets, and facilitates smooth integration across various data sources. Leveraging modular ECL pipelines, Cognee adeptly processes and arranges data, which allows AI agents to quickly access relevant information. The engine is designed to be compatible with both vector and graph databases and aligns well with major LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include tailored storage options, RDF-based ontologies for smart data organization, and the ability to function on-premises, ensuring data privacy and compliance with regulations. Furthermore, Cognee features a distributed architecture that is both scalable and proficient in handling large volumes of data, all while striving to reduce AI hallucinations by creating a unified and interconnected data landscape. This makes Cognee an indispensable tool for developers aiming to elevate the performance of their AI-driven solutions, enhancing both functionality and reliability in their applications.

Media

Media

Integrations Supported

GPT-4o

Integrations Supported

Apache Kafka
Claude Code
Claude for Legal
Cline
CrewAI
Falkor
FalkorDB
Google Cloud BigQuery
LanceDB
LangChain
Milvus
NetworkX
OpenAI
PostgreSQL
Python
Qdrant
SAP HANA
SQLite
Span-01

API Availability

API Availability

Pricing Information

$29 per month
Free Version

Pricing Information

$25 per month
beta pricing
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Epsilla

Date Founded

2023

Company Location

United States

Company Website

epsilla.com

Company Facts

Organization Name

Cognee

Company Location

Germany

Company Website

www.cognee.ai/

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agents

Not specified

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agents

Not specified

AI Memory Layers

Not specified

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