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.
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.
Aquí está el correo electrónico de soporte de LangWatch para el servicio de atención al cliente: contact@langwatch.ai.
LangWatch Nombre de la empresa: Reasoning Engine B.V. .
LangWatch Dirección de la empresa: Fred. Roekestraat 115, 1076 EE Amsterdam.
Más información sobre LangWatch, visite la página acerca de nosotros(https://langwatch.ai/about-us) .
Enlace de Github de LangWatch: https://github.com/langwatch/
Agosto 16 2024
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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
LangWatch Introduction for AI Quality Control
This video introduces LangWatch which provides all-in-one tooling to improve and iterate on your current models, as well as mitigating risks such as jailbreaking, sensitive data leaks and hallucinations. ▶ Become a Patron 🔥 - https://patreon.com/FahdMirza #langwatch PLEASE FOLLOW ME: ▶ LinkedIn: https://www.linkedin.com/in/fahdmirza/ ▶ YouTube: https://www.youtube.com/@fahdmirza ▶ Blog: https://www.fahdmirza.com RELATED VIDEOS: ▶ Tool https://langwatch.ai All rights reserved © 2021 Fahd Mirza
Getting started with LangWatch Optimization Studio (4/4): Optimizing
🚀 Explore the 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/
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