RAG & Vector Search

Mastering Change Data Capture With DLT

Scalable Data Ingestion: Building Custom Pipelines with the Fivetran Connector SDK and Databricks

Analyzing Geospatial Data at Scale in Databricks for Environment & Agriculture

Transforming Data at Rheem: From Silos to Scalable Data Lakehouse With Databricks and Unity Catalog

Cost-Effective Data Architecture and AI Practice With Databricks at FunPlus

Sponsored by: Cognizant | How Cognizant Helped RJR Transform Market Intelligence with GenAI

Lexical (BM25) and Neural (Sparse Embeddings) Hybrid Search with Autocomplete Using OpenSearch

Databricks and the Rise of the Data Engineer | #DataManagement #BusinessInsights #Databricks #Shorts

#NVIDIA DGX Spark - Your Own Personal #AI Supercomputer

How to Learn to Code as a Kid (Under 18)

Why Is NVIDIA Llama NeMo Retriever for Multimodal RAG #1 on Three Leaderboards?

n8n Just Leveled Up RAG Agents (Reranking & Metadata)

Vector Search Benchmark[eting] - Philipp Krenn, Elastic

RAG in 2025: State of the Art and the Road Forward — Tengyu Ma, MongoDB (acq. Voyage AI)

Build An AI Notes App (Vercel AI SDK v5, Next.js 15, Convex, RAG)

How to Use AI to Simplify Your Marketing

Building Enterprise RAG with Azure Database for PostgreSQL and pgvector | POSETTE 2025

#305 RAG 2.0 and The New Era of RAG Agents | Douwe Kiela, CEO at Contextual AI | Inventor of RAG

Aparna Chennapragada is the CPO at Microsoft

C’est quoi un RAG ?  c’est la meilleure solution pour réduire les hallucinations d’une IA.

AI Engineer World’s Fair 2025 — GraphRAG

RAG Evaluation Is Broken! Here's Why (And How to Fix It) - Yuval Belfer and Niv Granot

The RAG Stack We Landed On After 37 Fails - Jonathan Fernandes

Arctic Wolf Demo: How Aurora Endpoint Uses Databricks for Advanced Threat Detection