This is legit! I enjoyed every minute of it. Looking forward to the next episode(s) to binge watch.

Thanks to our customers for the G2 accolades! We're thrilled by the badges our team has earned. Check out our G2 reviews to see why customers rate us so highly & how we're making it easier for developers to build GenAI apps faster, cheaper, & easier. ow.ly/4mx650SHwxf

Planning to go to TechCrunch Disrupt this October? 🎟️ Don't miss 'The New Data Pipeline' panel session on 29th October, featuring DataStax Chairman and CEO, Chet Kapoor. Check the full event agenda here 👇 ow.ly/AAgv50SHwzf #DataStax #TechCrunch #AIApps

🎥New video 🎥 Tejas Kumar creates a movie search app using DataStax's GenAI products. The video covers text embedding, creating vectors for movie synopses, building a pipeline in Langflow and an interactive UI using the Vercel AI SDK. ow.ly/4JMj50SHwy6

In this new DataStax blog, Developer Relations Engineer Phil Nash explores how deploying the ColBERT method can improve retrieval in your RAG application. 📈 Plus, learn how to implement ColBERT with Astra DB! ⬇️ ow.ly/O4eN50SHwAI #DataStax #AstraDB

Today, we have implemented NVIDIA's NeMo Retriever as our default for vector data embedding in DataStax Astra DB! We have also added NeMo Retriever NIM embedding and reranking in Langflow. ➡️ ow.ly/GH5w50SIyFs

🍪Bodi’s Sweet Summer Giveaway🍪 Answer "What are your tips for users building applications with RAG?" and use #BodiAITips to win a sweet treat and Bodi swag. The best tip across our social channels, chosen by DataStax wins! Ends 7/26 (11:59 pm PDT) T&C ow.ly/T8xs50SIJz8

New Apache Cassandra 5.0 gives open source NoSQL database a scalability and performance boost. via VentureBeat #ApacheCassandra #VectorSearch #GenAI ow.ly/oENu50TjEZb

RAG++ NYC was amazing! Next stop: LONDON on Sept 24. 🧠 Learn about the latest GenAI & RAG tech 🗣 Hear GenAI success stories from industry experts share ​🖼 Network & immerse yourself in art at Frameless! Join us in London: ow.ly/ax3F50TjEZ9 #DataStax #AIApplications

💡👏 DataStax made Fast Company's Top 100 Best Workplaces for Innovators! Proud to be part of a team of passionate and curious minds pushing boundaries and redefining what's possible with AI every day. ow.ly/q91B50Tkjnu #FCBestWorkplaces

RAG++ LONDON IS HERE! 🎉 We're excited to kick off an immersive AI experience at the one-of-a-kind Frameless gallery. 🤩 Stay tuned for talks from Amplience, Bud, and NBCUniversal, Microsoft, esynergy, and more. #RAGPlusPlus #AIApplications #DataStax

Amazing news: DataStax has been named a Leader in The Forrester Wave™: Vector Databases, Q3 2024 Check out the DataStax blog to learn about our commitment to helping organizations build and scale AI-driven applications: ow.ly/onvN50TuFaI #VectorDB

DataStax 🤝 Glean We’re rolling out seamless interoperability between Astra DB and Glean, including a new Glean component within Langflow. Check out what this means for your GenAI projects. 👇 #AIApplications ow.ly/E30S50Tusxe

Bay Area! Join the Cassandra community on October 11 @ Netflix HQ and learn what's new and what's next with #ApacheCassandra. RSVP ➡️ow.ly/Is3x50TxEE3

How do "new" Knowledge Graphs work? DataStax CTO/EVP Davor Bonaci shares a great overview in Solutions Review. ow.ly/a2y250TxEE6 #DataStax #RAGGraph #GenAI #RAGApplications

Help shape the future of the Apache Cassandra project! Fill out the annual Apache Cassandra® Survey. 📝 10 minutes of your time could get you some sweet swag! 🙌 ow.ly/UMpg50TEvok

📣 Big news! Today DataStax is launching the DataStax AI Platform, built with NVIDIA AI ➡️ Reduce AI development time by 60% ➡️ Handle AI workloads 19x faster ➡️ Deliver more accurate AI Learn how to get started: ow.ly/n0Fb50TM8X5 #GenAI #AIApplications

Stuck in "AI development hell?" DataStax + NVIDIA can help! Read about the DataStax AI Platform, built with NVIDIA AI — an integrated stack for enterprise AI. By Sean Michael Kerner in VentureBeat ⬇️ ow.ly/Ajxt50TM8Yq

While LLMs remain popular, Small Language Models (SLMs) are gaining momentum as a cost-effective and efficient alternative to large-scale models. Learn more via DataStax, an IBM Company's @DomLoveAI. #GenerativeAI sprou.tt/1FQ3Bj7HQ1A