Reimagine Data Workflows with Weaviate Agents

Weaviate vector database · Intermediate ·🤖 AI Agents & Automation ·1y ago

Key Takeaways

Showcases Weaviate Agents for simplifying and automating AI data workflows

Original Description

Calling all AI devs, tech leads, and novices experimenting with agentic AI! Join us for a hands-on walkthrough of Weaviate Agents — a powerful suite of services designed to simplify and automate your AI data workflows. In this live session, we'll showcase how the 𝐐𝐮𝐞𝐫𝐲 𝐀𝐠𝐞𝐧𝐭, 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐀𝐠𝐞𝐧𝐭, 𝐚𝐧𝐝 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐀𝐠𝐞𝐧𝐭 work under the hood to enable natural language querying, real-time data transformation, and context-aware personalization without heavy lifting. This session will include live demos, example use cases, and implementation tips. [𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭] 𝐈𝐟 𝐲𝐨𝐮 𝐥𝐢𝐤𝐞 𝐭𝐨 𝐫𝐞𝐜𝐞𝐢𝐯𝐞 𝐦𝐚𝐭𝐞𝐫𝐢𝐚𝐥𝐬 𝐮𝐬𝐞𝐝 𝐝𝐮𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐬𝐞𝐬𝐬𝐢𝐨𝐧 𝐚𝐧𝐝 𝐟𝐨𝐥𝐥𝐨𝐰-𝐮𝐩 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐦𝐚𝐤𝐞 𝐬𝐮𝐫𝐞 𝐭𝐨 𝐚𝐠𝐫𝐞𝐞 𝐭𝐨 𝐖𝐞𝐚𝐯𝐢𝐚𝐭𝐞𝐬 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 𝐏𝐨𝐥𝐢𝐜𝐲
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
The one-page contract I make every autonomous AI agent sign (template inside)
Learn how to create a one-page contract for autonomous AI agents to ensure productivity and prevent errors
Dev.to AI
📰
PlanFlip: Attacking Multi-Agent LLM Systems via Planning-Phase Prompt Injection
Learn how to attack multi-agent LLM systems using planning-phase prompt injection with PlanFlip, a framework that corrupts downstream sub-tasks
ArXiv cs.AI
📰
Deterministic Replay for AI Agent Systems
Learn to achieve deterministic replay for AI agent systems using the agrepl framework, ensuring reproducibility and reliability in complex AI systems.
ArXiv cs.AI
📰
The Best AI Agents Don’t Rush to Answer. They Ask Better Questions
The best AI agents don't rush to answer, they ask better questions to provide more accurate responses, and this skill is crucial for effective AI development
Medium · AI
Up next
Best AI Agent Community to Accelerate Your Learning of AI (James Dooley Chats with Julian Goldie)
James Dooley
Watch →