LangWatch
LangWatch is an all-in-one monitoring and analytics platform for large language models (LLMs) that provides quality control, user analytics, and safety features to help build AI applications with confidence.
https://www.langwatch.ai/
Product Information
Updated:Nov 12, 2024
What is LangWatch
LangWatch is a comprehensive toolset designed to help developers and businesses improve, iterate, and secure their LLM-powered applications. It offers real-time monitoring, analytics, and evaluation capabilities for large language models like OpenAI's GPT and LangChain integrations. LangWatch aims to address key challenges in deploying AI solutions, including maintaining quality, ensuring safety, and facilitating continuous improvement.
Key Features of LangWatch
LangWatch is an all-in-one platform for monitoring, evaluating, and improving AI solutions powered by large language models (LLMs). It provides tools for safeguarding against risks like data leaks and hallucinations, analyzing user interactions and model performance, and continuously improving AI systems through intelligent evaluation and iteration.
Safety Checks and Guardrails: Prevents common AI issues like jailbreaking, sensitive data exposure, and off-topic conversations.
Real-time Analytics Dashboard: Provides insights on user interactions, conversion rates, output quality, and knowledge base gaps.
Intelligent Evaluation: Allows evaluation of new models and prompts, development of test datasets, and running of experimental simulations.
Easy Integration: Integrates seamlessly with popular LLM platforms and requires minimal code changes to implement.
Comprehensive Evaluation Library: Offers pre-built evaluations to identify and reduce common errors made by language models.
Use Cases of LangWatch
AI-Driven Customer Service: Monitor and improve AI chatbots to ensure they provide accurate, safe, and on-topic responses to customer inquiries.
Content Generation: Evaluate and refine AI-generated content for quality, relevance, and adherence to brand guidelines.
Data Analysis Pipelines: Detect and address unforeseen results in LLM-driven data processing workflows.
AI Product Development: Iteratively improve AI products by analyzing user interactions and continuously evaluating model performance.
Pros
Comprehensive solution for LLM monitoring and improvement
Easy integration with existing AI systems
Provides valuable insights for both technical and non-technical team members
Cons
Pricing may be a barrier for smaller organizations or individual developers
Relatively new product, may still be evolving and adding features
How to Use LangWatch
Sign up for an account: Go to app.langwatch.ai and sign up for a free account to get started with LangWatch.
Integrate LangWatch with your LLM: Add the LangWatch SDK to your project and integrate it with your chosen LLM (e.g. OpenAI, Anthropic, etc.) or LLM framework like LangChain. This typically requires adding just a few lines of code.
Configure monitoring and analytics: Set up the metrics and analytics you want to track in the LangWatch dashboard, such as user interactions, response quality, and safety checks.
Set up guardrails and evaluations: Configure automated safety checks and evaluations to detect issues like hallucinations, jailbreaking attempts, or sensitive data leaks in your LLM outputs.
Monitor real-time analytics: Use the LangWatch dashboard to view real-time analytics on your LLM's performance, user interactions, and any safety or quality issues detected.
Analyze and improve: Leverage LangWatch's insights to identify areas for improvement in your LLM application, such as refining prompts or adjusting safety parameters.
Collaborate with team: Invite team members to access the LangWatch dashboard and collaborate on improving your LLM application based on the data and insights provided.
Iterate and optimize: Continuously monitor, analyze, and refine your LLM application using LangWatch's tools to improve quality, safety, and user experience over time.
LangWatch FAQs
LangWatch is an all-in-one solution for creating AI with confidence. It provides tooling to improve and iterate on LLM models, as well as mitigate risks such as jailbreaking, sensitive data leaks, and hallucinations.
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Analytics of LangWatch Website
LangWatch Traffic & Rankings
7K
Monthly Visits
#2438744
Global Rank
-
Category Rank
Traffic Trends: May 2024-Nov 2024
LangWatch User Insights
00:00:40
Avg. Visit Duration
3.7
Pages Per Visit
48.68%
User Bounce Rate
Top Regions of LangWatch
IN: 26.59%
US: 17.23%
SE: 16.78%
NL: 8.89%
DE: 6.93%
Others: 23.57%
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