LangWatch
What is LangWatch?
Improve your GenAI by understanding the faithfulness & relevance of your output, enriched with user feedback insights. Designed for seamless collaboration, bridging technical and non-technical users.
How to use LangWatch?
Tracking interactions with LangWatch is incredibly easy and non-intrusive, it requires just two lines of code. Use your LLMs as always and track what you want.
LangWatch's Core Features
Real-time Monitoring & logs
Debugging
Experiment & Find Winning Models
LLM Hallucinations
Analytics - Build your own graphs
Use any LLM model
LangWatch's Use Cases
Product teams can understand how users are using the Generative AI solution
Developers can fix hallucinations or other problems
FAQ from LangWatch
What is LangWatch?
LangWatch Support Email & Customer service contact & Refund contact etc.
Here is the LangWatch support email for customer service: contact@langwatch.ai .
LangWatch Company
LangWatch Company name: Reasoning Engine B.V. .
LangWatch Company address: Fred. Roekestraat 115, 1076 EE Amsterdam.
More about LangWatch, Please visit the about us page(https://langwatch.ai/about-us).
LangWatch Github
LangWatch Github Link: https://github.com/langwatch/
LangWatch Reviews (1)
Hansje van der velden
August 16 2024
Analytic of LangWatch
LangWatch Website Traffic Analysis
Geography
Top 5 Regions
LangWatch Launch embeds
Use website badges to drive support from your community for your Toolify Launch. They're easy to embed on your homepage or footer.
Alternative of LangWatch
Social Listening
LangWatch LLM Optimization Studio
🚀 Explore our optimization studio at: https://langwatch.ai/ ⭐️ Give us a star on GitHub: https://github.com/langwatch/langwatch 📺 Check out documentation for tutorials and more videos: https://docs.langwatch.ai/
Simple chat bot using RAG and monitoring it with LangWatch.
Building a Conversational AI using RAG with LangChain, Chainlit, and Observability with LangWatch https://github.com/langwatch/Simple-Chat-Bot https://langwatch.ai
The complete guide for TDD with LLMs
Blogpost: https://langwatch.ai/blog/tdd-with-llms LangEvals: https://github.com/langwatch/langevals/ LangWatch: https://langwatch.ai/
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