Nextcloud Community Conference Program 2024: Keynotes, panel sessions, live podcast & more!

As the #NextcloudConf24 is just around the corner, we would like to additionally present you with the full program for the weekend. From our keynote speakers and panelists, to live podcasting, lightning talks and workshops, we have a full agenda booked that we cannot wait to experience with you! Keynote…

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Building GitLab with GitLab: A multi-region service to deliver AI features

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  • Post category:Automation

For GitLab Duo, real-time AI-powered capabilities like Code Suggestions need low-latency response times for a frictionless developer experience. Users don’t want to interrupt their flow and wait for a code suggestion to show up. To ensure GitLab Duo can provide the right suggestion at the right time and meet high…

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Introducing the New TeamCity Plugin for IntelliJ IDEA

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We’re excited to announce the release of the updated TeamCity plugin for IntelliJ IDEA! 🎉 You can now download it directly from JetBrains Marketplace. Using the plugin, you can trigger TeamCity builds directly from within your IDE and test any changes before committing them to the version control system. Why…

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LangChain Redis Package: Smarter AI apps with advanced vector storage and faster caching

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Introducing langchain-redis, our new partner package integrating Redis capabilities with the LangChain ecosystem. This collaboration gives developers the tools they need to build fast AI apps, especially those powered by Retrieval Augmented Generation (RAG). LangChain is an open-source framework used by 1M+ developers to build their GenAI applications.  With its…

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Announcing E-Maj 4.5.0.

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  • Post category:Databases

We are very glad to announce the 4.5.0 version of E-Maj. E-Maj is a PostgreSQL extension which enables fine-grained write logging and time travel on subsets of the database. This version brings the PostgreSQL 17 version compatibility. The emaj extension installation and uninstallation have been enhanced (Many thanks to David…

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Building Gen AI with MongoDB & AI Partners | August 2024

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As the AI landscape continues to evolve, companies, industries, and developers seek tailored solutions to their unique challenges. Gone are the days when general-purpose AI models could be applied universally. Now, organizations are looking for industry-specific applications, verticalized AI solutions, and specialized tools to gain a competitive edge and best…

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AI Agents, Hybrid Search, and Indexing with LangChain and MongoDB

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Since we announced integration with LangChain last year, MongoDB has been building out tooling to help developers create advanced AI applications with LangChain. With recent releases, MongoDB has made it easier to develop agentic AI applications (with a LangGraph integration), perform hybrid search by combining Atlas Search and Atlas Vector…

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Stop Giving Your Data to Vendors

The way organizations manage their data infrastructure is undergoing a significant shift. More and more companies are recognizing the advantages of decoupling storage and compute, which leads to better performance, cost savings, and scalability. This trend is driven by the increasing complexity of AI and ML workloads, which require flexible,…

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