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ease
features
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Description

Prompt Flow is a comprehensive suite of development tools aimed at optimizing the entire development lifecycle of AI applications built on LLMs, encompassing everything from concept creation and prototyping to testing, evaluation, and final deployment. By simplifying the prompt engineering process, it empowers users to develop high-quality LLM applications efficiently. Users can design workflows that seamlessly combine LLMs, prompts, Python scripts, and various other tools into a cohesive executable flow. This platform enhances the debugging and iterative process, particularly by allowing users to easily trace interactions with LLMs. Furthermore, it provides capabilities to assess the performance and quality of flows using extensive datasets, while integrating the evaluation phase into your CI/CD pipeline to maintain high standards. The deployment process is streamlined, enabling users to effortlessly transfer their flows to their preferred serving platform or integrate them directly into their application code. Collaboration among team members is also improved through the utilization of the cloud-based version of Prompt Flow available on Azure AI, making it easier to work together on projects. This holistic approach to development not only enhances efficiency but also fosters innovation in LLM application creation.

Description

Ragas is a comprehensive open-source framework aimed at testing and evaluating applications that utilize Large Language Models (LLMs). It provides automated metrics to gauge performance and resilience, along with the capability to generate synthetic test data that meets specific needs, ensuring quality during both development and production phases. Furthermore, Ragas is designed to integrate smoothly with existing technology stacks, offering valuable insights to enhance the effectiveness of LLM applications. The project is driven by a dedicated team that combines advanced research with practical engineering strategies to support innovators in transforming the landscape of LLM applications. Users can create high-quality, diverse evaluation datasets that are tailored to their specific requirements, allowing for an effective assessment of their LLM applications in real-world scenarios. This approach not only fosters quality assurance but also enables the continuous improvement of applications through insightful feedback and automatic performance metrics that clarify the robustness and efficiency of the models. Additionally, Ragas stands as a vital resource for developers seeking to elevate their LLM projects to new heights.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude
Codestral
Codestral Mamba
Gemini
Gemini 1.5 Pro
Gemini 2.0 Flash
Gemini Pro
LangChain
Llama 2
Llama 3
Llama 3.2
Llama 3.3
MLflow
Mathstral
Ministral 3B
Ministral 8B
Mistral Large
Mixtral 8x22B
Mixtral 8x7B
Opik

Integrations

Claude
Codestral
Codestral Mamba
Gemini
Gemini 1.5 Pro
Gemini 2.0 Flash
Gemini Pro
LangChain
Llama 2
Llama 3
Llama 3.2
Llama 3.3
MLflow
Mathstral
Ministral 3B
Ministral 8B
Mistral Large
Mixtral 8x22B
Mixtral 8x7B
Opik

Pricing Details

No price information available.
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

Microsoft

Founded

1975

Country

United States

Website

microsoft.github.io/promptflow/

Vendor Details

Company Name

Ragas

Country

United States

Website

www.ragas.io

Product Features

Product Features

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Alternatives

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