SingleStore

?? Heads up! We're heading to Amazon Web Services (AWS) re:Invent 2024! Join us to explore the power of SingleStore and Amazon Bedrock, and discover how to use these platforms to enhance your data management and make more informed decisions at scale. ?? Our team is eager to connect, share insights, and discuss how we can elevate your data management journey at booth 1179. Don’t miss out—come chat with us and let’s innovate together! ??? Register today: https://msql.co/3YAGM7h

Enhance Your #RAG Applications with #Graph RAG! Traditional RAG & Graph RAG represent two approaches to enhancing LLM responses with external knowledge. Traditional RAG follows a linear workflow where documents are first broken into chunks, converted into vector embeddings, and stored in a vector database. When a query arrives, similar chunks are retrieved based on vector similarity and fed to the LLM for response generation. While effective, this approach treats each chunk independently, potentially losing contextual relationships. In contrast, Graph RAG enhances this process by maintaining a knowledge graph structure. Instead of simple chunking, it performs entity extraction to identify key concepts and their relationships. These entities and their connections are stored in a graph database alongside vector embeddings, creating a hybrid storage system. When processing queries, Graph RAG can leverage both semantic similarity and graph relationships, enabling it to traverse the knowledge graph to gather related context. This results in more comprehensive and contextually aware responses, as the LLM receives not just similar text chunks but also understands how different pieces of information are interconnected. The graph-based approach is particularly powerful for complex queries that require understanding relationships between entities, making it superior for tasks requiring deep contextual understanding and relationship-based reasoning. Knowledge graphs are all the hype now as they enhance your RAG applications. You might now think you may need a graph database??. Right? Well, sometimes you don't actually need a specialised database to create knowledge graphs for your graph RAG applications, instead a database like SingleStore can be used as a vector database and also to create knowledge graphs. An all in one data platform for your RAG applications. Here is my practical hands-on guide that shows how you can enhance your RAG applications with graph RAG: https://lnkd.in/gHHdnFjs Try SingleStore for FREE: https://lnkd.in/gd9VwUBu

The users have spoken: SingleStore is a fan favorite on TrustRadius. ?? Learn more about our achievement in receiving the TrustRadius Buyer’s Choice Award 2025 in this blog post ?? https://msql.co/3UTYull

In today’s fast-paced tech landscape, the power of AI is shaping the future of web applications. But how do you bring AI capabilities into your NextJS projects effectively? ?? That’s exactly what we’ll be exploring in this webinar ?? https://msql.co/3YMl6GE ?? Build a dynamic, full-stack AI application using NextJS ?? Set up your dev environment to deploying an end-to-end solution ?? Seamlessly integrate powerful AI models into your NextJS app

Thrilled to share that our Chief Legal Officer, Jay DeGooyer, has been nominated for inclusion in Marquis Who's Who! ?? A leader in commercial litigation, corporate law, and legal writing, Jay has built a remarkable career, and his professional expertise is matched only by his commitment to community service, from volunteering with The Milagro Foundation to coaching local sports teams. ?? We are thrilled to have him as part of our growing company, serving our customers and partners exceedingly well. Congratulations to Jay on this well-deserved recognition! We are glad to have him on our team. ?? ?? Read more: https://msql.co/496vtZI

Claude 3 Cookbook: Leveraging OCR & Multimodal Data Extraction This webinar is set to explore the cutting-edge capabilities of Claude 3, illustrating how developers and data professionals can harness these technologies to advance their projects and workflows.

What popular feature, often used by companies to quickly find and filter through text data, shares its acronym with "For The Search"? A) Full-Text Search B) Fast Text Scan C) Filter Text System D) File Type Sort (Hint: It's all about searching through text effectively!) FTS has been a cornerstone for applications across Gen AI, eCommerce, and fintech since IBM's 1969 breakthrough. With SingleStore’s Full-Text Search version 2, powered by the industry-standard Lucene library, we’re modernizing this classic idea. Best of all, it integrates seamlessly with SQL, cutting down the learning curve for your team. Read more ?? https://msql.co/3Orp8hD #GenAI #SingleStore #FullTextSearch

Building a Vector Database in Excel with Prof. Tom Yeh This webinar is designed to enhance your understanding of vector data and its significance in today’s data-driven landscape. Don’t miss this opportunity to elevate your skills and explore innovative solutions for managing complex data!

????? When you think motorsports, you picture speed & skill—but behind the scenes, it’s all about the data. The Gaucho Racing Formula SAE Team at UC Santa Barbara is taking racing to the next level with a groundbreaking data acquisition system, powered by #SingleStore ???? Check out how they built real-time analytics for Formula SAE Racing with SingleStore ?? https://msql.co/3ARnzGE via YouTube.

Attention! We're coming to the ETCIO AI Vision event in Bengaluru, India on December 5th! ???? Join us at booth 5 to discover the latest in AI innovations and solutions. But that’s not all – we’ll be hosting an exclusive roundtable discussion ?? where industry leaders and experts will dive deep into cutting-edge AI trends, challenges, and opportunities. Register today ?? https://msql.co/491KtHX Curious about what’s coming? Keep an eye out for sneak peeks as we gear up to reveal the exciting topics and speakers at the roundtable. This is your chance to connect with the best minds in the industry! ?? Save the date – we can't wait to see you there and spark meaningful conversations around the future of AI! #ETCIO #ETCIOAIVision #AIVisionConclave #TechInnovation #SingleStore