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Average Ratings 0 Ratings

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features
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support

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Description

Phoenix serves as a comprehensive open-source observability toolkit tailored for experimentation, evaluation, and troubleshooting purposes. It empowers AI engineers and data scientists to swiftly visualize their datasets, assess performance metrics, identify problems, and export relevant data for enhancements. Developed by Arize AI, the creators of a leading AI observability platform, alongside a dedicated group of core contributors, Phoenix is compatible with OpenTelemetry and OpenInference instrumentation standards. The primary package is known as arize-phoenix, and several auxiliary packages cater to specialized applications. Furthermore, our semantic layer enhances LLM telemetry within OpenTelemetry, facilitating the automatic instrumentation of widely-used packages. This versatile library supports tracing for AI applications, allowing for both manual instrumentation and seamless integrations with tools like LlamaIndex, Langchain, and OpenAI. By employing LLM tracing, Phoenix meticulously logs the routes taken by requests as they navigate through various stages or components of an LLM application, thus providing a clearer understanding of system performance and potential bottlenecks. Ultimately, Phoenix aims to streamline the development process, enabling users to maximize the efficiency and reliability of their AI solutions.

Description

Utilize our automated insights and customizable metrics to assess, enhance, and perpetually refine your GenAI models. Future AGI streamlines the evaluation of AI model outputs by automatically scoring them, which removes the necessity for manual quality assurance assessments. As a result, your QA team can redirect their efforts toward more strategic initiatives, potentially boosting their efficiency and capacity by as much as tenfold. This ensures that your AI-driven customer interactions remain consistently positive and aligned with your brand identity. By optimizing your models, you can highlight the most pertinent and engaging content tailored to each user. Additionally, you can fine-tune your models to produce the most precise summaries for your audience. Future AGI empowers you to establish bespoke metrics that assess your AI model's accuracy according to the specific priorities of your use case. You can articulate your essential metrics in natural language, providing your QA team with greater adaptability and authority to evaluate model performance. This approach guarantees that your assessments are in harmony with your business goals, transcending conventional metrics such as relevance while promoting a more comprehensive evaluation framework. Embracing this method not only enhances model performance but also fosters a culture of continuous improvement within your organization.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Gemini Enterprise Agent Platform Yes 
OpenAI Yes 
Arize AI Yes 
CoLab Yes 
Codestral Yes 
CrewAI Yes 
Guardrails AI Yes 
Hugging Face No 
JavaScript Yes 
LangChain Yes 
LlamaIndex Yes 
Mathstral Yes 
Ministral 3B Yes 
Mistral 7B Yes 
Mistral Large Yes 
Mistral NeMo Yes 
Mixtral 8x22B Yes 
Mixtral 8x7B Yes 
OpenTelemetry Yes 
Vercel Yes 

Integrations

Gemini Enterprise Agent Platform Yes 
OpenAI Yes 
Arize AI No 
CoLab No 
Codestral No 
CrewAI No 
Guardrails AI No 
Hugging Face Yes 
JavaScript No 
LangChain No 
LlamaIndex No 
Mathstral No 
Ministral 3B No 
Mistral 7B No 
Mistral Large No 
Mistral NeMo No 
Mixtral 8x22B No 
Mixtral 8x7B No 
OpenTelemetry No 
Vercel No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

Web-Based Yes 
On-Premises Yes 
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) Yes 
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) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

Arize AI

Country

United States

Website

docs.arize.com/phoenix

Vendor Details

Company Name

Future AGI

Founded

2024

Country

United States

Website

www.futureagi.com

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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