Beyond the Frame: Multimodal Video Recommendations with TwelveLabs + Qdrant
Coming soon!
Join Qdrant and Twelve Labs for a live, behind-the-scenes presentation on building smarter video recommendation systems using state-of-the-art vector search and multimodal AI. We’ll walk through a real open-source demo that combines Twelve Labs’ video intelligence API with Qdrant’s vector database to enable rich, semantic recommendations based on what’s actually happening inside the video.
miniCOIL: Sparse Neural Retrieval Done Right
June 17 @ 11:10 - 11:50am
At Berlin Buzzwords, Jenny Sukhodolskaya will present miniCOIL, our attempt to make a sparse neural retrieval model as it should be, combining the benefits of dense and lexical retrieval without propagating their drawbacks. Learn how to design and train a lightweight model that is performant on out-of-domain data and demonstrate its capabilities.
We'll explore how ColPali, an advanced multimodal retrieval approach, uses multivectors to represent document images, capturing both local and global context. Watch now.
A faster way to learn RAG
Learn how to create a RAG application in just 5 minutes. We will also show you how quickly you can build an app using Bootstrap RAG. Watch now.
n8n + Qdrant = <3
See how easy it can be to deploy advanced AI agents using Qdrant’s vector database power beyond similarity search and n8n’s low-code AI starter kit. Watch now.
CrewAI + Qdrant for Agents
Build an advanced agentic RAG system that combines automated email processing with Obsidian notes management.
Turn embeddings or neural network encoders into full-fledged applications for matching, searching, recommending, and more. You can start prototyping with your forever-free first cluster.
