#rag Development Tutorials & Tips | Roast Dev

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🚀 How I Boosted Slack RAG Accuracy by 5–6% with Smarter Chunking

I recently worked on improving chunking strategies for a Slack text RAG (Retrieval-Augmented Generation) system, and I wanted to share my approach — especially for those dealing with chaotic, real-w...

06.04.2025 0 Read More

Processing data with “Data Prep Kit” (part 2)

Using “Data Prep Kit” to embed data in Milvus and query it! This is the part 2 of hands-on experience with the kit from IBM Research.Introduction As mentioned in the part 1, alongside with Docling...

07.04.2025 0 Read More

GitHub Copilot Code Review is Now Available

GitHub Copilot Code Review became generally available on April 4. You can access it through Visual Studio Code and GitHub. In Visual Studio Code Navigate to the Source Control section in the s...

07.04.2025 0 Read More

All Data and AI Weekly #184 - April 07, 2025

All Data and AI Weekly ( AI, Data, NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, SQL, Unstructured Data ) #184 - April 07, 2025 https://bsky.app/profile/paa...

07.04.2025 0 Read More

Build an AI-Powered Chatbot with Amazon Lex, Bedrock, S3, and RAG

In today's fast-paced digital world, AI-powered chatbots are transforming the way businesses interact with customers. From personalized shopping assistants to 24/7 enterprise and customer support agen...

08.04.2025 0 Read More

Key strategies for enhancing RAG effectiveness

This article was originally published on IBM Developer by Shabna MT, Rakesh Polepeddi, Gourab SarkarRetrieval-augmented generation (RAG) is an AI framework for improving the quality of LLM-generated r...

08.04.2025 0 Read More

RAG vs. Fine tuning: Which AI strategy should you choose?

This article was originally published on IBM Developer by Cedric ClyburnIncorporating artificial intelligence (AI) into an organization isn't a matter of flipping a switch; it requires careful customi...

08.04.2025 0 Read More

MCP Simply Explained: Function Calling Rebranded or Genuine Breakthrough?

Ever wished your AI assistant could actually do more than just chat? Like send real emails, schedule your meetings, analyze your spreadsheets, or search the web for you? The Model Context Protocol (M...

08.04.2025 0 Read More

Visual Grounding from Docling!

My experience testing for a demonstration “Visual Grounding” feature of Docling on Intel CPU. Introduction In discussions with our business partners, we always try to propose tools and sol...

09.04.2025 0 Read More

Fixing the Agent Handoff Problem in LlamaIndex's AgentWorkflow System

LlamaIndex AgentWorkflow, as a brand-new multi-agent orchestration framework, still has some shortcomings. The most significant issue is that after an agent hands off control, the receiving agent fail...

10.04.2025 0 Read More

🚀 How I Boosted Slack RAG Accuracy by 5–6% with Smarter Chunking

Processing data with “Data Prep Kit” (part 2)

GitHub Copilot Code Review is Now Available

All Data and AI Weekly #184 - April 07, 2025

Build an AI-Powered Chatbot with Amazon Lex, Bedrock, S3, and RAG

Key strategies for enhancing RAG effectiveness

RAG vs. Fine tuning: Which AI strategy should you choose?

MCP Simply Explained: Function Calling Rebranded or Genuine Breakthrough?

Visual Grounding from Docling!

Fixing the Agent Handoff Problem in LlamaIndex's AgentWorkflow System

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