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Description

Langfuse is a free and open-source LLM engineering platform that helps teams to debug, analyze, and iterate their LLM Applications. Observability: Incorporate Langfuse into your app to start ingesting traces. Langfuse UI : inspect and debug complex logs, user sessions and user sessions Langfuse Prompts: Manage versions, deploy prompts and manage prompts within Langfuse Analytics: Track metrics such as cost, latency and quality (LLM) to gain insights through dashboards & data exports Evals: Calculate and collect scores for your LLM completions Experiments: Track app behavior and test it before deploying new versions Why Langfuse? - Open source - Models and frameworks are agnostic - Built for production - Incrementally adaptable - Start with a single LLM or integration call, then expand to the full tracing for complex chains/agents - Use GET to create downstream use cases and export the data

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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Claude Yes 
LangChain Yes 
OpenAI Yes 
Athina AI No 
Codestral No 
Codestral Mamba No 
Flowise Yes 
Gemini 1.5 Flash No 
Gemini 2.0 Flash No 
Lamatic.ai Yes 
Llama No 
Llama 2 No 
Llama 3 No 
Llama 3.1 No 
Llama 3.2 No 
LlamaIndex Yes 
MLflow No 
Ministral 3B No 
Mistral Large No 
Opik No 

Integrations

Claude Yes 
LangChain Yes 
OpenAI Yes 
Athina AI Yes 
Codestral Yes 
Codestral Mamba Yes 
Flowise No 
Gemini 1.5 Flash Yes 
Gemini 2.0 Flash Yes 
Lamatic.ai No 
Llama Yes 
Llama 2 Yes 
Llama 3 Yes 
Llama 3.1 Yes 
Llama 3.2 Yes 
LlamaIndex No 
MLflow Yes 
Ministral 3B Yes 
Mistral Large Yes 
Opik Yes 

Pricing Details

$29/month
Generous free tier and Pro Plans starting at USD 29/month.
Langfuse is open source so you will always be able to host the software yourself at no cost.
Free Trial Yes 
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) 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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Langfuse

Founded

2023

Country

Germany

Website

langfuse.com

Vendor Details

Company Name

Ragas

Country

United States

Website

www.ragas.io

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