#rag Development Tutorials & Tips | Roast Dev

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Building AI Agents: Semantic Integration of Structured and Unstructured Data using OpenAI Agent SDK

What is this about? This post is about building AI agents that can semantically integrate structured and unstructured data for advanced search and analysis. The ability to search and analyze ...

12.03.2025 0 Read More

Complete Guide to LangChainJS Documentation: Optimize LLM Usage with Ease

LangChainJS is a powerful library for building applications based on language models (LLMs) such as GPT-3, GPT-4, and others. With clear and well-structured documentation, developers can easily config...

13.03.2025 0 Read More

Overview: "PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC"

Disclaimer: this is a report generated with my tool: https://github.com/DTeam-Top/tsw-cli. See it as an experiment not a formal research, 😄。 Mindmap Summary This paper introduces...

13.03.2025 0 Read More

RAG Vector Database - Use Cases & Tutorial

RAG Vector Database is one of the first main terms RAG geeks are looking for. Let me dive in! RAG Vector Database: A Comprehensive Guide: Table of Contents - RAG Vector Database: Intr...

13.03.2025 0 Read More

Fine-Tune Your LLM in MINUTES with Nebius ⚡️

Introduction Large Language Models are Great! But it’s not that good when it comes to doing specific tasks or being a domain subject matter expert.That’s where Fine tuning comes into the ...

13.03.2025 0 Read More

Benchmarking Code Reviews: Kody vs. Raw LLMs (GPT & Claude)

Introduction AI-powered IDEs blew up this past year—suddenly, every dev’s got a little robot sidekick.But hey, coding is the fun part.Code reviews? Not so much.That’s where we started w...

13.03.2025 0 Read More

¿Quieres aprender sobre agentes en español? 🎥

He creado este video como parte de una serie de entrenamientos gratuitos para la comunidad latina. ¡Espero que te sea útil! 🚀🔗 Míralo aquí: ...

13.03.2025 0 Read More

Real-Time JSON Parsing from Semantic Kernel Streams in .NET

The problem LLMs like GPT-4o are now good at generating JSON, which opens up many possibilities.Most of the time, we can wait for the LLM to complete the generation, parse the answer and retu...

13.03.2025 0 Read More

SGLang: A Deep Dive into Efficient LLM Program Execution

Disclaimer: this is a report generated with my tool: https://github.com/DTeam-Top/tsw-cli. See it as an experiment not a formal research, 😄。 Summary SGLang is an open-source framework des...

13.03.2025 0 Read More

Build RAG Chatbot 🤖 with LangChain, Milvus, Mistral AI Pixtral, and NVIDIA bge-m3

Introduction to RAG Retrieval-Augmented Generation (RAG) is a game-changer for GenAI applications, especially in conversational AI. It combines the power of pre-trained large language models ...

14.03.2025 0 Read More

Building AI Agents: Semantic Integration of Structured and Unstructured Data using OpenAI Agent SDK

Complete Guide to LangChainJS Documentation: Optimize LLM Usage with Ease

Overview: "PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC"

RAG Vector Database - Use Cases & Tutorial

Fine-Tune Your LLM in MINUTES with Nebius ⚡️

Benchmarking Code Reviews: Kody vs. Raw LLMs (GPT & Claude)

¿Quieres aprender sobre agentes en español? 🎥

Real-Time JSON Parsing from Semantic Kernel Streams in .NET

SGLang: A Deep Dive into Efficient LLM Program Execution

Build RAG Chatbot 🤖 with LangChain, Milvus, Mistral AI Pixtral, and NVIDIA bge-m3

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