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What is Netra?

Netra stands out as a comprehensive platform that empowers AI agents to monitor, evaluate, simulate, and refine their decision-making processes, facilitating secure deployments and the early detection of regressions before users are impacted. Key Features 1. Observability: It offers extensive tracing capabilities that document every phase of multi-agent, multi-step, and multi-tool workflows, capturing details on inputs, outputs, timing, and costs associated with each reasoning phase, LLM invocation, and tool interaction. 2. Evaluation: The platform includes automated quality assessments for each agent's decisions, employing integrated scoring rubrics, tailored evaluations through LLMs and code reviewers, online assessments with live traffic, and continuous integration checks to avert regressions. 3. Simulation: Agents are subjected to rigorous evaluations under the pressure of thousands of real and synthetic scenarios prior to going live, utilizing diverse personas, performing A/B tests against baseline performance metrics, and measuring confidence levels ahead of any user engagement. 4. Prompt Management: Every prompt is meticulously versioned, compared, tracked for its lineage, and protected against rollbacks, ensuring that every production response can be accurately traced back to its exact prompt version, thus fostering transparency and control. By providing these essential features, Netra empowers developers with the necessary resources to guarantee the dependability and efficiency of their AI systems while also promoting continuous improvement.

What is DeepEval?

DeepEval presents an accessible open-source framework specifically engineered for evaluating and testing large language models, akin to Pytest, but focused on the unique requirements of assessing LLM outputs. It employs state-of-the-art research methodologies to quantify a variety of performance indicators, such as G-Eval, hallucination rates, answer relevance, and RAGAS, all while utilizing LLMs along with other NLP models that can run locally on your machine. This tool's adaptability makes it suitable for projects created through approaches like RAG, fine-tuning, LangChain, or LlamaIndex. By adopting DeepEval, users can effectively investigate optimal hyperparameters to refine their RAG workflows, reduce prompt drift, or seamlessly transition from OpenAI services to managing their own Llama2 model on-premises. Moreover, the framework boasts features for generating synthetic datasets through innovative evolutionary techniques and integrates effortlessly with popular frameworks, establishing itself as a vital resource for the effective benchmarking and optimization of LLM systems. Its all-encompassing approach guarantees that developers can fully harness the capabilities of their LLM applications across a diverse array of scenarios, ultimately paving the way for more robust and reliable language model performance.

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Integrations Supported

Hugging Face
KitchenAI
LangChain
Llama 2
LlamaIndex
OpenAI
Opik
Ragas

Integrations Supported

Hugging Face
KitchenAI
LangChain
Llama 2
LlamaIndex
OpenAI
Opik
Ragas

API Availability

Has API

API Availability

Has API

Pricing Information

$39/month
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Netra

Date Founded

2025

Company Website

getnetra.ai/

Company Facts

Organization Name

Confident AI

Company Location

United States

Company Website

docs.confident-ai.com

Categories and Features

Categories and Features

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