#rag Development Tutorials & Tips | Roast Dev

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Multilevel RAG

PREMISE Simply breaking an entire document into regular CHUNKs has some disadvantages: It does not allow you to incorporate all the semantics of the context because the cut can potentially oc...

26.03.2025 0 Read More

Building an E-Commerce Support Chatbot: Part 2 - Building the Knowledge Base

In this part, we’ll focus on setting up the database and preparing sample e-commerce order data that the chatbot will reference during conversations. ✅ What We'll Cover: Setting up MongoD...

26.03.2025 0 Read More

This article was originally published on IBM Developer by Rajeev Mishra, Diwakar Kumar, Aditi Chawla, and Sunaina SaxenaBranched retrieval-augmented generation (branched RAG) is an advanced iterative ...

26.03.2025 0 Read More

Is RAG Still Needed? Retrieval Beyond Vector Embeddings

The rise of Large Language Models (LLMs) has sparked an ongoing debate: do we still need Retrieval-Augmented Generation (RAG), or can LLMs handle everything on their own? At first glance, RAG seemed l...

27.03.2025 0 Read More

🧭 Part 3: Implementing Vector Search with Pinecone

🧭 Part 3: Implementing Vector Search with Pinecone In this part, we’ll integrate Pinecone, a vector database that enables semantic search. This allows the chatbot to understand user quer...

27.03.2025 0 Read More

What Makes Data AI-Ready?

TL;DR: Your AI scaling bottleneck isn't models, it's inconsistent enterprise data—solve it with graph-based pipelines like FalkorDB & GraphRAG. Gartner: 60% of AI projects fail due to poor-quali...

27.03.2025 0 Read More

Adding RAG and ML to AI files reorganization CLI (messy-folder-reorganizer-ai)

A month ago, I created the first naive version of a CLI tool for AI-powered file reorganization in Rust — messy-folder-reorganizer-ai. It sent file names and paths to Ollama and asked the LLM to gen...

28.03.2025 0 Read More

Figure Export from Docling — Exporting PDF to image

Using Docling “Figure Export” capacities.Introduction Among the export set of functionality implemented in Docling sets of toolings, the figure export is a very nice one. Using this capacity the u...

28.03.2025 0 Read More

Efficiently process large files for RAG

When building data indexing pipelines, handling large files efficiently presents unique challenges. For example, patent XML files from the USPTO can contain hundreds of patents in a single file, with ...

29.03.2025 0 Read More

I Built Pocket Flow, an LLM Framework in just 100 Lines — Here is Why

Have you ever stared at a complex AI framework and wondered, "Does it really need to be this complicated?" After a year of struggling with bloated frameworks, I decided to strip away anything unneces...

29.03.2025 0 Read More

Multilevel RAG

Building an E-Commerce Support Chatbot: Part 2 - Building the Knowledge Base

Introduction to branched RAG

Is RAG Still Needed? Retrieval Beyond Vector Embeddings

🧭 Part 3: Implementing Vector Search with Pinecone

What Makes Data AI-Ready?

Adding RAG and ML to AI files reorganization CLI (messy-folder-reorganizer-ai)

Figure Export from Docling — Exporting PDF to image

Efficiently process large files for RAG

I Built Pocket Flow, an LLM Framework in just 100 Lines — Here is Why

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