#rag Development Tutorials & Tips | Roast Dev

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Get to Know MCP

The Model Context Protocol (MCP) is released by Anthrophic is becoming the de facto for combining AI models to everything that it cannot directly access.So let me break it to you with the most simples...

16.04.2025 0 Read More

Your GenAI system is only as smart as its retrieval layer.

A recent enterprise GenAI survey just confirmed what we’ve been seeing in production: 85% of teams are deploying LLMs 71% are already seeing output risks 99% agree: human oversight is still mandato...

16.04.2025 0 Read More

Enhancing RAG performance with smart chunking strategies

This article was originally published on IBM Developer by Shabna Madathil Thattantavida, and Gourab SarkarRetrieval-augmented generation (RAG) enhances large language model (LLM) responses by incorpor...

16.04.2025 0 Read More

Construyendo un sistema RAG para búsqueda y análisis de contenido de video

🇻🇪🇨🇱 Dev.to Linkedin GitHub Twitter Instagram Youtube Linktr Elizabeth Fuentes LFollow AWS Developer Advocate Enlace al repo h...

16.04.2025 0 Read More

AI for ESG Reporting Using Real-Time RAG and Live Data Streams

Why Real-Time ESG Reporting Needs a Shake-Up In the world of finance and sustainability, Environmental, Social, and Governance (ESG) data is gold. But traditional ESG reporting is slow, static, and ba...

16.04.2025 0 Read More

How RAG & MCP solve model limitations differently

Large language models (LLMs) like Claude, and GPT-4o have impressive capabilities but face two major limitations: the knowledge they contain is frozen in time (more specifically, at training time), an...

16.04.2025 0 Read More

Running Docling as an API Server

How to start with “docling serve”! Introduction Docling offers a user-friendly interface to leverage its capabilities as an API server. While its API and comprehensive documentation undoub...

17.04.2025 0 Read More

Rethinking Reasoning in AI: Why LLMs Should Be Interns, Not Architects

A new framework combining symbolic logic, ephemeral memory, and language models to build traceable, interpretable, and scalable intelligence.IntroductionLLMs are great at sounding smart. But ask them ...

17.04.2025 0 Read More

Building an AI-Powered Personal Blog With GitHub Copilot Agent

GitHub Copilot recently launched an agent mode. As a developer open to new things, I plan to try it out. The article is a working log of my experience.For a trial project, I chose to implement a stati...

18.04.2025 0 Read More

From YouTube to Insights: Using Gen AI to Query Video Transcripts

📌 Problem Statement: Video Overload, Information Lost In today’s digital age, we consume a massive amount of video content—tutorials, lectures, interviews, podcasts, and more. But revi...

19.04.2025 0 Read More

Get to Know MCP

Your GenAI system is only as smart as its retrieval layer.

Enhancing RAG performance with smart chunking strategies

Construyendo un sistema RAG para búsqueda y análisis de contenido de video

AI for ESG Reporting Using Real-Time RAG and Live Data Streams

How RAG & MCP solve model limitations differently

Running Docling as an API Server

Rethinking Reasoning in AI: Why LLMs Should Be Interns, Not Architects

Building an AI-Powered Personal Blog With GitHub Copilot Agent

From YouTube to Insights: Using Gen AI to Query Video Transcripts

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