Your guide to using webhooks in Langflow starts here! 👇 Check out the step-by-step tutorial: https://dtsx.io/3ExRF42
DataStax Developers
IT Services and IT Consulting
Santa Clara, California 1,585 followers
DataStax is the real-time data company for Gen AI applications. DATA = AI
About us
Helping developers shape the wild with a one-stop generative AI stack.
- Website
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https://dtsx.io/3CjoFGC
External link for DataStax Developers
- Industry
- IT Services and IT Consulting
- Company size
- 501-1,000 employees
- Headquarters
- Santa Clara, California
- Founded
- 2010
- Specialties
- Apache Cassandra, Distributed Data, Database Administration, Database Architecture, Hybrid Cloud, Big Data, Software Engineering, Cloud Applications, Kubernetes, Cloud Native, NoSQL, Database, Cassandra, Vector Database, LLMs, RAG, Vector Search, Gen AI, and Real-Time AI
Updates
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Langflow.new = Frictionless AI Did you know you can get started immediate with @langflow_ai? No need to sign up. Build RAG pipelines, agentic flows, and more. https://lnkd.in/gAckSTvY
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Introducing Astra DB for AI Agents: A New Era of Database Interaction 👇 Learn about Astra DB over MCP — an innovative way to communicate with your database that leverages the Model Context Protocol (MCP). Create and manage databases without writing a single line of code. 🤖 https://lnkd.in/g-b9_GPU
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DataStax Developers reposted this
𝟓 𝐃𝐚𝐲𝐬 𝐨𝐟 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 kicks off next week — your step-by-step recipe for getting AI right. 🤌 Here are the core ingredients we’ll dive into next week (April 28): ➡️ Monday - Data prep, ingestion, and embedding ➡️ Tuesday - Retrieval ➡️ Wednesday - Monitoring and evaluation ➡️ Thursday - Reranking and optimization ➡️ Friday - Accuracy in production Let's cook! 🧑🍳 https://lnkd.in/g7QeN-MC
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If your RAG or agent isn’t hitting 95%+ accuracy, it’s not production-ready. Learn how to evaluate accuracy & boost relevance with Langflow, Astra DB, & tools like RAG Checker. Register for the April 23 livestream: https://dtsx.io/4jEWJCn
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Come see MCP in action! 🙌👀 Join David Jones-Gilardi and Melissa Herrera for a hands-on walkthrough of how Langflow now works as both an MCP client and server. You’ll learn how to connect flows, integrate external tools, and orchestrate multi-agent systems like never before. 📆 April 24 @ 9 AM PT Register: https://dtsx.io/42T4kYt
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Top 3 Mistakes I Made While Building AI Agents 👇 In this post, Melissa Herrera shares her experience building agent applications. ➡️ Overestimating the agent's capabilities ➡️ Overloading the agent ➡️ Not properly describing agent tools Check it out! https://lnkd.in/gvZ5ipve
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Understanding AI Agent Architectures in Langflow 👇 In this post, we look at: ➡️ The different types of agent architectures ➡️ Customer patterns and use cases for each ➡️ How Langflow makes it easy to get started with agents https://dtsx.io/42b18Hk
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Strategies for Improving Relevance and Accuracy in Vector Search 👇 In this post, we look at: ➡️ The role vector search plays in building AI applications ➡️ A vector search case study ➡️ How Astra DB delivers more accurate and relevant vector search https://dtsx.io/4jc2bgq
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What are the core components to an AI stack? ➡️ Data ➡️ Models ➡️ Memory ➡️ Agents and orchestrators ➡️ Tools ➡️ Monitoring ➡️ Development This post explores why building a dedicated AI stack matters—and breaks down the key benefits of each layer. https://dtsx.io/3Egdchv