#rag Development Tutorials & Tips | Roast Dev

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RAG for a beginner by ChatGPT

RAG is Retrieval Augmented Generation. It is an AI-technique that uses an integrated knowledge base for the information retrieval. The retrieved information in turn is used by the LLM as a context to ...

21.04.2025 0 Read More

Spring Boot AI Evaluation Testing

In this example, inspired by Building Agents with AWS: Complete Tutorial, we will build a simple AI agent application using Spring AI, highlighting key features like: Chat Client API and its Advisors...

22.04.2025 0 Read More

From LLM to AI Agent: What’s the Real Journey Behind AI System Development?

AI agents are a hot topic, but not every AI system needs to be one.While agents promise autonomy and decision-making power, simpler & more cost-saving solutions better serve many real-world use ca...

22.04.2025 0 Read More

Hybrid Search: Combining Dense and Sparse Vectors for Superior Search Results

Search technology has evolved dramatically in recent years, moving beyond simple keyword matching to embrace sophisticated vector-based approaches. Among these innovations, hybrid search—combining d...

22.04.2025 0 Read More

AppealRX is a fine-tuned BERT model trained on 7000+ appeals notes

Inspiration Mental health claims are denied at nearly twice the rate of other medical services. Solo practitioners—who represent 47% of psychologists—often lack the billing staff, legal t...

22.04.2025 0 Read More

Picture annotation with Docling

Use docling built-in features to make picture annotation.Introduction Picture annotation, a crucial task in various computer vision applications (among others…😉), involves adding descriptive labe...

22.04.2025 0 Read More

Build the Smartest AI Bot You’ve Ever Seen — A 7B Model + Web Search, Right on Your Laptop

Summary: RAG Web is a Python-based application that combines web search and natural language processing to answer user queries. It uses DuckDuckGo for retrieving web search results and a Hugg...

22.04.2025 0 Read More

Implement an end-to-end RAG solution with watsonx.ai and Elasticsearch SQL

This tutorial was originally published on IBM Developer by Aditya Mahakali and Mohith CharanEver wondered how to tap into the power of Elasticsearch without wrestling with its entire Query DSL? Or how...

23.04.2025 0 Read More

Building Dcup: An Open-Source RAG Pipeline with a Twist

Ever wrestled with a RAG pipeline and thought, “Why is this so damn hard?” We’ve been there—tearing our hair out over complexity and slow performance. So, I built Dcup, an open-source, self-ho...

04.05.2025 0 Read More

Building a CLI for Multi-Agent Tree-of-Thought: From Idea to Execution - Part 1

What if LLMs had opinions and argued in threads? What happens when we give LLMs not just memory and tools, but also autonomy, voices, perspectives, and structure? I built a simple CLI tool, a tiny ex...

04.05.2025 0 Read More

RAG for a beginner by ChatGPT

Spring Boot AI Evaluation Testing

From LLM to AI Agent: What’s the Real Journey Behind AI System Development?

Hybrid Search: Combining Dense and Sparse Vectors for Superior Search Results

AppealRX is a fine-tuned BERT model trained on 7000+ appeals notes

Picture annotation with Docling

Build the Smartest AI Bot You’ve Ever Seen — A 7B Model + Web Search, Right on Your Laptop

Implement an end-to-end RAG solution with watsonx.ai and Elasticsearch SQL

Building Dcup: An Open-Source RAG Pipeline with a Twist

Building a CLI for Multi-Agent Tree-of-Thought: From Idea to Execution - Part 1

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