#rag Development Tutorials & Tips | Roast Dev

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Nexus Search: RAG-Powered Semantic Search for HPKV

In traditional key-value stores, finding data relies on knowing exact keys or key patterns. This works well for structured, predictable access patterns, but falls short when dealing with unstructured ...

01.04.2025 0 Read More

RAG, AI Agents and Agentic RAG - what is it and how does it work?

If you’re keeping up with AI (and who isn’t?), you’ve probably heard of Retrieval-Augmented Generation (RAG) and AI Agents. But what about this other term Agentic RAG? It’s like combining the ...

01.04.2025 0 Read More

Announcing NODES 2025: Submit Your Talk

NODES, the community gathering on graph-powered applications, knowledge graphs, and AI, returns for its seventh year on Nov. 6, 2025. Join thousands of developers and data pros at NODES 2025, a free 2...

02.04.2025 0 Read More

Vector Database Indexing: A Comprehensive Guide

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 This report delves into vector databas...

02.04.2025 0 Read More

[Feedback wanted] Connect user data to AI with PersonalAgentKit for LangGraph

I have been working for the past few months on a SDK to provide LangGraph tools to easily allow users to connect their personal data to applications.For now, it supports Telegram and Google (Gmail, Ca...

03.04.2025 0 Read More

Search-o1: Agentic Search-Enhanced Large Reasoning Models

選定理由と所感 Tsinghua Universityの研究、OpenAIのDeepResearchの方式はブラックボックスであるが、耐ノイズRAGという分野は今後も大きな研究分野に...

03.04.2025 0 Read More

Embeddings Demystified: Math, Meaning & Machines

“Embeddings are like whispers in a language machines can understand — quiet, dense, and surprisingly smart.” What’s the Deal with Embeddings? When you say “I love ice cream,” you...

03.04.2025 0 Read More

RAG Search with AWS Lambda and Bedrock

Today I would like to show you how I solved with Retrieval-Augmented Generation (RAG) Search my problem of poor Large Language Model (LLM) response results.I was creating a system, one of the elements...

03.04.2025 0 Read More

Crawling web sites using “Data Prep Kit”

A hands-on exercise using “data-prep-kit” and storing the result as parquet files. Introduction Alongside with Docling, “IBM Research” open-sourced another sets of tool which could be ...

04.04.2025 0 Read More

Part 2: AI Agent Truly Intelligent?

What Makes an AI Agent Truly Intelligent?We’ve all heard the buzz around AI agents, but what really sets an intelligent agent apart from a basic chatbot or automation script?At the core, a powerful ...

05.04.2025 0 Read More

Nexus Search: RAG-Powered Semantic Search for HPKV

RAG, AI Agents and Agentic RAG - what is it and how does it work?

Announcing NODES 2025: Submit Your Talk

Vector Database Indexing: A Comprehensive Guide

[Feedback wanted] Connect user data to AI with PersonalAgentKit for LangGraph

Search-o1: Agentic Search-Enhanced Large Reasoning Models

Embeddings Demystified: Math, Meaning & Machines

RAG Search with AWS Lambda and Bedrock

Crawling web sites using “Data Prep Kit”

Part 2: AI Agent Truly Intelligent?

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