In this Autonomous AI Database Learning Lounge session, our team explains all about the new Oracle Data Science Agent—now generally available for Autonomous AI Database Serverless 26ai. Watch now to see how conversational machine learning helps users profile data, prepare features, train and evaluate models, and generate inference SQL directly inside the database - without moving governed enterprise data out of Autonomous AI Database. https://lnkd.in/eTq6bncr
Oracle Developers
IT Services and IT Consulting
Austin, Texas 38,708 followers
A community for developers by developers.
About us
Oracle Developers is a community for developers by developers.
- Website
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https://www.oracle.com/developer
External link for Oracle Developers
- Industry
- IT Services and IT Consulting
- Company size
- 10,001+ employees
- Headquarters
- Austin, Texas
- Founded
- 1977
- Specialties
- Big Data, Analytics, Hadoop, developers, java, linux, mysql, and APEX
Updates
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Tool access, peer coordination, and system integration each need a different solution. Most production failures occur when one protocol tries to cover all three. This article offers a framework to help you choose the right protocol for your needs, including three reference patterns for building with these protocols—each with runnable Python examples using Oracle AI Database. https://lnkd.in/eENQQgFB
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You've seen Oracle Database Operator for Kubernetes reconcile a SingleInstanceDatabase, read the custom resource as an operating contract, and inspected the platform resources around it. Now the question is: If you lose something, can you get the database back? We've got you covered: https://lnkd.in/eQj-WDK4
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Go behind the scenes with our team as they take on building a cross-region replication feature for OCI Secret Management Service—helping address the needs of our customers and allow them to bolster their disaster recovery stories. https://lnkd.in/e-JG2aip
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Building intelligent agentic workflows has traditionally required complex code/designing, custom orchestration logic, and deep technical expertise. Oracle AI Database Private Agent Factory changes that equation. But how does it actually work in practice? We show you how it provides the platform to build sophisticated multi-agent systems utilizing the combination of no-code visual development, standardized integration via MCP, and more. https://lnkd.in/eensc2Uv
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Oracle AI Agent Memory is designed for: 👉 AI Developers and engineers building production agents who need durable short-term and long-term memory in one place 👉 Teams already running Oracle AI Database who want their agents to write to the same governed backend as the rest of the business 👉 Technical leaders evaluating Oracle AI Database for agent memory infrastructure at scale This article lays out everything you need to get started.
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One database for the whole LangChain ecosystem. 😱 Richmond Alake explains how vectors, chat history, semantic cache, checkpoints, documents, and relational data can live behind one Oracle connection pool instead of several, separate services. https://lnkd.in/eHuB5NSi
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Oracle Developers reposted this
Records allow you to represent immutable data simply. 📊 Check out this code snippet from codebysophy, then get the full details on JEP 395: https://lnkd.in/e8-pVxmT
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We recently launched Oracle Backend with Firebase APIs, which gives developers a way to build mobile and web apps on Oracle AI Database with open source SDKs for auth, document data, storage, security rules, vector search, and App Trust. 🔥 Check it out and let us know what you're building: https://lnkd.in/eAbvjueX
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A semantic cache is safest when it behaves like governed application state, not like an unqualified nearest-neighbor shortcut. This demo shows that pattern with Oracle AI Database 26ai Free tables, a fixed native vector column, exact-hit and semantic-hit reuse, Oracle True Cache read routing, and more. https://lnkd.in/eXTcJw4H
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