Categories: AI/ML Research

Implementing Hybrid Semantic-Lexical Search in RAG

Implementing hybrid search strategies is a critical step in building modern RAG (Retrieval-Augmented Generation) systems , especially when shifting from prototype to production-ready solutions.

Implementing Multi-Modal RAG Systems

Large language models (LLMs) have evolved and permeated our lives so much and so quickly that many we have become dependent on them in all sorts of scenarios.

February 13, 2025

In "AI/ML Research"

Building RAG Systems with Transformers

This post is divided into five parts: • Understanding the RAG architecture • Building the Document Indexing System • Implementing the Retrieval System • Implementing the Generator • Building the Complete RAG System An RAG system consists of two main components: • Retriever: Responsible for finding relevant documents or passages…

April 24, 2025

In "AI/ML Research"

Advanced Techniques to Build Your RAG System

This post is divided into three parts; they are: • Query Expansion and Reformulation • Hybrid Retrieval: Dense and Sparse Methods • Multi-Stage Retrieval with Re-ranking One of the challenges in RAG systems is that the user's query might not match the terminology used in the knowledge base.

April 27, 2025

In "AI/ML Research"

AI Generated Robotic Content