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Self Hosting RAG Applications On Edge Devices with Langchain and Ollama–Part II

Analytics Vidhya

Introduction In the second part of our series on building a RAG application on a Raspberry Pi, we’ll expand on the foundation we laid in the first part, where we created and tested the core pipeline. In the first part, we created the core pipeline and tested it to ensure everything worked as expected.

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The DataOps Vendor Landscape, 2021

DataKitchen

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

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Using Generative AI to Build Generative AI

O'Reilly on Data

On April 24, OReilly Media will be hosting Coding with AI: The End of Software Development as We Know It a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. A False Start by Locally Hosting an LLM Now onto the backend.

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Microsoft Unveils Multimodal AI Capabilities to the Masses With JARVIS

Analytics Vidhya

With a demo hosted on the popular AI platform Huggingface, users can now explore and test JARVIS’s extraordinary capabilities. The AI can connect and collaborate with multiple artificial intelligence models, such as ChatGPT and t5-base, to deliver a final result.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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MCP: What It Is and Why It Matters—Part 2

O'Reilly on Data

MCP clients On the other side, an AI assistant (or the platform hosting it) includes an MCP client component. Many AI host programs act as an MCP client managere.g., Cursor (as an MCP host) might have an MCP client for the database (say a Postgres MCP server) and another for a visualization tool.

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Manage Amazon OpenSearch Service Visualizations, Alerts, and More with GitHub and Jenkins

AWS Big Data

It is advised to discourage contributors from making changes directly to the production OpenSearch Service domain and instead implement a gatekeeper process to validate and test the changes before moving them to OpenSearch Service. es.amazonaws.com' # e.g. my-test-domain.us-east-1.es.amazonaws.com, Leave the settings as default.

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Best Practices for Deploying & Scaling Embedded Analytics

You can get new capabilities out the door quickly, test them with customers, and constantly innovate. Deployment: Benefits and drawbacks of hosting on premises or in the cloud. Embedding analytics in your application doesn’t have to be a one-step undertaking.