Nov 24, 2025 · 11 min read · The rise of Retrieval-augmented Generation (RAG) has changed how we build large language model (LLM) applications. Instead of relying solely on a model's internal knowledge, RAG allows you to plug in your own data source, such as knowledge bases, PDF...
Join discussion
Nov 22, 2025 · 3 min read · Background LLM applications are harder to debug and optimize than traditional software. Prompts are non-deterministic, outputs vary, and performance depends on token usage, latency, and cost. Without visibility into these dimensions, it is commercial...
Join discussion
Aug 29, 2025 · 4 min read · Introduction LangGraph is an open-source framework for building stateful, multi-step, agentic workflows on top of LLMs. It is part of the LangChain ecosystem and is designed to help developers orchestrate complex reasoning, tool use, and memory in LL...
Join discussion
Aug 10, 2025 · 6 min read · I've recently completed a thorough testing of Langfuse (v3.95.2 OSS), and I wanted to share my observations on its capabilities and overall suitability for AI model observability. My overall impression is that Langfuse is a robust and beneficial tool...
Join discussion
Jul 23, 2025 · 7 min read · Introduction LangChain is an open-source framework designed to simplify the development of applications powered by large language models (LLMs). It provides a modular, extensible toolkit for building, orchestrating, and deploying LLM-driven workflows...
Join discussion
Jul 3, 2025 · 4 min read · INTRODUCTION In traditional web applications, engineers rely on tools like Loki for logging, Prometheus for monitoring server utilization, and Grafana for visualization in order to bring observability into their application to get more metrics. Howev...
Join discussion
May 2, 2025 · 5 min read · LangFuse is awesome. If you're working with Large Language Models (LLMs), you probably know how useful it is for seeing what your AI is actually doing. It helps us track everything, keep an eye on costs, get feedback, and manage the prompts we feed o...
Join discussionDec 19, 2024 · 8 min read · Introduction to LangGraph LangGraph is built on top of LangChain and is primarily focused on creating agents or agentic workflows. While it has other uses, agents are its main purpose. What Are Agents? Agents utilize a large language model (LLM) to d...
Join discussion
Jul 6, 2024 · 6 min read · This Friday one of my lovely colleagues shared this article by Fabian Both from Octomind in our data science chat. The article joins a long list of articles, blogs and Reddit posts that dismiss LangChain. I'm personally partial to LangChain, but have...
Join discussion
