Blog

What are LLM Hallucinations? What causes LLM hallucinations?

What is MCP? What does MCP stand for?

The New LLM DevOps Stack for LLM's

Why LLM Evaluation and monitoring matter

Scenario is now live on GitHub — check it out and give it a ⭐️

How do we objectively know if the AI output is good?

We're proud to announce our partnership with adesso!

The best GenAI teams are now introducing a critical new role: the AI PM (Quality) Lead.

LLMs can do amazing things, but only if they understand context. That context lives in the heads of domain experts.

Evals are the thing of 2025 and building high-quality Evals is one of the most impact investments you can make.

The Model Context Protocol is a new standard that lets AI agents easily connect to external tools and data sources.

Improve your LLM performance with real-time observability and optimization

LangWatch: €1M pre-seed funding round led by Passion Capital, with great support from Volta Ventures and Antler.

OpenAI, Anthropic, Deepseek and other LLM Providers keep dropping prices: Should you host your own model?

AI is evolving at speed, and the landscape in 2025 will be shaped across agents, multimodal data, and model efficiency.

LangWatch has been a part of HolidayHero's LLM production environment for over two months, overseeing thousands of guestchats

LangWatch Optimization Studio – Built for AI Engineers, by AI Engineers

Leverage the power of DSPy’s MIPROv2 without diving into complex code? Enter LangWatch’s Optimization Studio

LangWatch’s Optimization Studio, a more precise, scientific and better approach to prompt optimization

This tutorial guides you through building chatbots using Retrieval Augmented Generation with OpenAI in Python using FastAPI

How can we test in a probabilistic environment?

Data Flywheel: using your production data to build better LLM products

How Algomo increased the quality of their AI app with LangWatch

Understand what is The AI Team and what are Their Roles

Understand how to leverage datasets for LLM unit testing

What is this DSPy anyway?

LangWatch, a new innovative Amsterdam-based startup: Meet the Team

Driving to help AI leaders create RAG chatbots with minimal hallucinations

Journey of launching your first LLM-powered product is filled with potential and challenges.

Retrieval Augmented Generation. Its popularity continues to surge, offering various methods for its successful implementation

Discover how User Analytics for LLMs can transform AI interactions, revealing user behavior

Successfully integrating LLMs into your business requires careful monitoring and evaluation of options

Delve into the challenges of LLM hallucinations, explore their types, causes, and effective mitigation strategies

Learn valuable insights from the frontlines of GenAI product development

Prevent AI chatbots from handling out-of-scope questions, being manipulated, and addressing sensitive topics

Explore how to minimize AI hallucinations in LLMs

Explore the race of generative AI

Learn how AI start-ups can succeed by creating targeted generative AI solutions and effectively monitoring LLMs.

Struck.build + LangWatch = Improved AI Perfomance

Dive into a customer's journey with LangWatch, revealing how to successfully integrate AI into your organization.