AI Middleware

Technical Deep Dive Into Nextcloud Context Chat

Nextcloud Context Chat is a retrieval augmented generation (RAG) based feature of Assistant, grounding a large language model’s responses to users’ prompts with the documents & data that they already store in Nextcloud. From Context Chat in the Nextcloud Assistant…
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Integrating Nextcloud AI Assistant with Inference Engines & APIs

Nextcloud Assistant, featured in the latest versions of Nextcloud Hub, extends the cloud storage & collaboration suite with a range of AI-powered capabilities, including GPT-style chat, text generation, and speech-to-text transcription. With the Smart Picker, you can use these features…
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AI Data Loss Prevention (DLP) with Microsoft Presidio

Even if you have deployed an enterprise GPT platform as a dedicated workspace for your organization, it remains best practice to avoid storing unnecessary PII in your AI data infrastructure. In fact, many regulated industries & sectors such as education…
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Private Enterprise GPT on Any Cloud with Inference APIs

Are your employees using the consumer versions of ChatGPT or Copilot (formerly Bing Chat) without your knowledge? Especially with hybrid work arrangements, this could be surreptitiously happening on employees’ mobile phones or personal laptops – even if company devices are…
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Serverless Deployment of AI Middleware, LiteLLM, with Google Cloud Run

AI middleware is an emerging term for the layer of the technology stack that facilitates the interfacing of AI end user applications with the Large Language Models and GPU-accelerated machines that drive them. Here are the major sub-categories of this…
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Proxies & Load Balancers for AI LLM Models (AI Middleware)

The Cambrianesque explosion of capable, open Large Language AI Models represents an opportunity to extend virtually any application with AI capabilities, but a strategy for managing multiple AI endpoints is clearly needed. Hosting open models in your own environment requires…
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