Our own Charna Parkey, Ph.D. gave a brilliant talk entitled 'The Future of RAG for Enterprises — Graph and more' at the VentureBeat Transform event in San Francisco yesterday. Clearly lots of interest in learning how to implement RAG, as Charna found herself addressing a packed room! 📢 #DataStax
DataStax
IT System Data Services
Santa Clara, California 77,351 followers
DataStax helps developers shape the wild
About us
DataStax is the company that helps developers and companies successfully create a bold new world through GenAI. We offer a one-stop generative AI stack with everything needed for a faster, easier, path to production for relevant and responsive GenAI apps. DataStax delivers a RAG-first developer experience, with first-class integrations into leading AI ecosystem partners, so we work out with developers’ existing stacks of choice. With DataStax, anyone can quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, VerSe Innovation, and many more rely on DataStax to deliver GenAI.
- Website
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https://dtsx.io/3zfCdCN
External link for DataStax
- Industry
- IT System Data Services
- Company size
- 501-1,000 employees
- Headquarters
- Santa Clara, California
- Type
- Privately Held
- Founded
- 2010
- Specialties
- NoSQL, Cassandra, Apache Cassandra, database, multi-cloud, cloud, modern applications, distributed database, real-time, developers, Cloud Native, Kubernetes, real time data, open stack, AI, serverless, multi-cloud, machine learning, realtimeAI, Vector Database, Vector Search, Generative AI, GenAI, and RAG
Locations
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Primary
2755 Augustine Dr
8th Floor
Santa Clara, California 95054, US
Employees at DataStax
Updates
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At DataStax, we help you get the most out of your cloud strategy by working with the industry's leading cloud providers. Find out how our optimized approach to working with Amazon Web Services (AWS), Google Cloud and Microsoft Azure helps us redefine what it means to collaborate, driving cost savings, efficiency, and growth for our partners, for us, and ultimately for you. On July 17th, Chip Rodgers of WorkSpan will chat with Abhishek Reddy, VP, Partner Strategy and Operations at DataStax, to learn more. Register now ⬇️ https://dtsx.io/4628n4H #GenAI #BusinessGrowth #DataStax
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When one LLM just isn't enough ... Want to know how do you create more advanced experiences for users that leverage multiple LLMs, scrape websites, ingest files, and connect to databases? You’re in the right place! Check out this tutorial from Ania Kubow using Langflow. You can use drag-and-drop components and a chat box feature for seamless experimentation and prototyping around the service you want to build, and check out your changes in minutes, not hours. Watch the video here and let us know your thoughts in the comments! ⬇️ https://dtsx.io/3VT703P #DataStax #LangFlow
Combine MULTIPLE LLMs to build an AI API! (super simple!!!) Langflow | LangChain | Groq | OpenAI
https://www.youtube.com/
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Need Vector Embeddings for your generative AI system? Get the entire process done with one line of code, thanks to DataStax Vectorize. 👌 Vectorize simplifies vector generation by letting developers choose an embedding service, configure it with Astra DB, and start building right away. With DataStax Vectorize, embedding now happens on the server, meaning developers only need to learn one API to access the eight most popular embedding providers and compare results seamlessly. Whether you want to use Azure OpenAI, Hugging Face, Jina AI, Mistral AI, NVIDIA, OpenAI, Upstage AI or Voyage AI, you can get your results fast through one API. Simplify your workflow. Expand your choices. DataStax Vectorize. Read more ⤵ https://lnkd.in/eUXUKhBY
Simplifying Vector Embedding Generation with Astra Vectorize | DataStax
datastax.com
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Get ready to unlock the power of innovation at Amazon Web Services (AWS) Summit New York, next week! 🚀🔒 We'll be showing attendees how to build their own GenAI apps using Astra DB and Amazon Bedrock! Grab your golden ticket → https://dtsx.io/3KZOqly #DataStax #GenAI #AstraDB
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🔹Navigating the generative AI tooling landscape🔹 Are you grappling with how to introduce new tools into your workflows around development and AI? Do you find that updates break those workflows or lead to your team spending more time on infrastructure than software? Lindsay Clark of The Register speaks to DataStax about how our integrated Langflow platform provides a streamlined, easy-to-use, cloud-hosted environment for generative AI development: https://dtsx.io/3zt2DEY #GenAI #LLMs #LangFlow
CTOs' frustration with GenAI? Tool changes that break stuff
theregister.com
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📢 ICYMI: DataStax and unstructured.io have partnered to make enterprise data RAG-ready for AI! This delivers: ⚡ Lightning-fast data ingestion and conversion of documents and data sets into vector data 🔎 Embeddings that can be quickly written to Astra DB for highly relevant GenAI similarity searches ⏩ Simple and elegant pipelines for updating your GenAI data in real time See this powerful partnership in action: https://dtsx.io/4bwxsFY #GenAI #VectorSearch #DataStax
Harness your documents for GenAI: Build a RAG pipeline for data ingestion with Unstructured.io and Astra DB | DataStax
datastax.com
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"There’s a lot for us all to learn, so I look forward to jumping in and sharing everything I can with the community." Learn more about DataStax Developer Relations Engineer Phil Nash in this blog! ⬇️ https://dtsx.io/3VNPttB #DataStax #DevRel #DeveloperCommunity
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The basics of Retrieval Augmented Generation (RAG) architecture are deceptively simple. Implementing RAG at scale is hard. Getting enterprise grade efficiency is a challenge many teams now face. Read more about how DataStax enables teams to deliver RAG in their enterprises in this article by VentureBeat ⤵️ https://dtsx.io/4cLYk5Q #RAG #DataStax #Langflow
DataStax looks to help enterprises escape RAG ‘Hell’ with AI tools update
https://venturebeat.com
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💡 What if building a generative AI application could be as easy as dragging and dropping your app components? 💡 What if you could check out your components and test performance in minutes via an easy-to-use visual interface, rather than rebuilding your applications in hours or days? 🎺 Enter DataStax Langflow! 🎺 A visual framework that makes it easier for developers to quickly use any vector database, embedding model, or LLM to... → Experiment → Design → Test ...their RAG applications and GenAI apps. Get more details, and TRY Langflow here: https://dtsx.io/3XG8PDK #DataStax #Langflow #GenAI