#langchain Development Tutorials & Tips | Roast Dev

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Building a RAG-Powered Self-Improving Trading Department with LangGraph

Imagine walking into a trading floor that runs itself. Analysts don’t sleep, they never get tired, and they learn from their mistakes. Sounds sci-fi? Not anymore.In this post, we’ll build a RAG-po...

20.04.2025 0 Read More

Top LLMOps Tools to Manage Your AI Stack in 2025

🚀 LLMOps is no longer a luxury — it's the backbone of modern AI workflows. If you're building anything with GPT, Claude, or LLaMA in 2025, you need tooling that scales. From prompt orchestration...

21.04.2025 0 Read More

Calling all developers - Google's Build with AI Virtual Mixer June 6th

Build the Future: AI-Powered Multi-Agent Systems on Google CloudAre you ready to redefine what's possible with AI? Join Google for a virtual and immersive event designed to propel you to the forefront...

25.04.2025 0 Read More

AutoRAGLearnings: Hands-On RAG Pipeline Tuning with Greedy Search

If you’ve ever spent hours tweaking a Retrieval-Augmented Generation (RAG) pipeline—wondering whether BM25 or a vector index works better, or if duplicating a passage in your prompt helps—AutoRA...

27.04.2025 0 Read More

Hi EVERYONE

I'm writing a programming language....

28.04.2025 0 Read More

Building Smarter AI Workflows with LangChain

LangChain is one of the most exciting tools to emerge in the world of LLM application development. Whether you’re building a chatbot, an autonomous agent, or a content pipeline, LangChain provides t...

30.04.2025 0 Read More

How AI Understands Your Documents: The Secret Sauce of RAG

From Text to Intelligence: The AI's Learning Process Think of teaching a new employee how to do their job. You wouldn't: Dump all company manuals on their desk at once (oversaturation) Expect...

01.05.2025 0 Read More

RAG - Retrieval-Augmented Generation, Making AI Smarter!

Imagine asking a super-smart assistant a question, and instead of guessing, it quickly checks a library of trusted information to give you a spot-on answer. That’s what Retrieval-Augmented Generatio...

01.05.2025 0 Read More

Bridging the AI Gap: Simplifying LLM Development in Elixir with langchain_ex

Artificial Intelligence is evolving at a breakneck pace. Every week, it feels like there’s a new breakthrough, a novel architecture, or yet another company launching its own large language model (LL...

01.05.2025 0 Read More

Introdução ao LangGraph: Orquestrando agentes com fluxos baseados em grafos

A construção de aplicações com Large Language Models (LLMs) evoluiu rapidamente. Frameworks como LangChain nos deram as ferramentas para conectar LLMs com fontes externas, memória, e agentes capa...

01.05.2025 0 Read More

Building a RAG-Powered Self-Improving Trading Department with LangGraph

Top LLMOps Tools to Manage Your AI Stack in 2025

Calling all developers - Google's Build with AI Virtual Mixer June 6th

AutoRAGLearnings: Hands-On RAG Pipeline Tuning with Greedy Search

Hi EVERYONE

Building Smarter AI Workflows with LangChain

How AI Understands Your Documents: The Secret Sauce of RAG

RAG - Retrieval-Augmented Generation, Making AI Smarter!

Bridging the AI Gap: Simplifying LLM Development in Elixir with langchain_ex

Introdução ao LangGraph: Orquestrando agentes com fluxos baseados em grafos

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