retrieval-augmented-gen

Agentic AI, agentic-rag, generative-ai-use-cases, retrieval-augmented-gen, vectorless-rag

Vectorless RAG: How I Built a RAG System Without Embeddings, Databases, or Vector Similarity

Alpha Iterations / April 4, 2026

A journey from “vector similarity ≠ relevance” to building a reasoning-based RAG system that actually understands documentsPhoto by Becca Tapert on UnsplashIntroductionRetrieval-Augmented Generation (RAG) has become a foundational pattern for building …

multimodal-rag, rags, retrieval-augmented-gen, vision-llm, vllm

Your Multimodal RAG Pipeline Should Look at Images Twice

Akshay Kalane / March 31, 2026

Once at ingestion to make them findable. Again at retrieval to actually answer the question.Here’s the standard advice for building a multimodal RAG system: take your PDF, extract images, run them through a vision model, store the summaries as text chu…

ai, ChatGPT, large-language-models, llm-reasoning, retrieval-augmented-gen

CoopRAG: Unroll, Retrieve, Cooperate, and Repair

Florian June / March 29, 2026

If you’ve ever watched a RAG system miss an obvious fact because the question was underspecified, this post might offer an insightful…Continue reading on Towards AI »

data-science, fine-tuning, Machine Learning, prompt-engineering, retrieval-augmented-gen

The Real Difference Between RAG, Fine-tuning, and Prompt Engineering — When to Actually Use Each

Harish K / March 24, 2026

Prompt engineering is free. RAG costs infrastructure. Fine-tuning costs time. Most teams get this backwards — they reach for the expensive…Continue reading on Towards AI »

Artificial Intelligence, data-science, llm, mathematics, retrieval-augmented-gen

The Engine Under Every RAG System — Retrieval strategies as a variable affecting your RAG

DrSwarnenduAI / March 21, 2026

Eleven retrieval strategies — from a 1972 term counter to hypothetical hallucinations — and why the one you pick silently determines…Continue reading on Towards AI »