Problem

Do you resonate with this - A capability and impact of a technology being truly discovered when it's packaged in a right way to it's audience. Finest example would be, how the Generative AI took off when ChatGPT was put in the public for easy access and not when Transformers/RAG's capabilities were identified. At least a much higher usage came in, when the audience were empowered to explore the possibilities.

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In the previous article, we saw different modules in IRIS AI Studio and how it could help explore GenAI capabilities out of IRIS DB seamlessly, even for a non-technical stakeholder. In this article, we will deep dive into "Connectors" module, the one that enables users to seamlessly load data from local or cloud sources (AWS S3, Airtable, Azure Blob) into IRIS DB as vector embeddings, by also configuring embedding settings like model and dimensions.

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Welcome to the third and final publication of our articles dedicated to the development of RAG applications based on LLM models. In this final article, we will see, based on our small example project, how we can find the most appropriate context for the question we want to send to our LLM model and for this we will make use of the vector search functionality included in IRIS.

Meme Creator - Funny Context Meme Generator at MemeCreator.org!

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image

Hi Community,

In this article, I will introduce my application iris-RAG-Gen .

Iris-RAG-Gen is a generative AI Retrieval-Augmented Generation (RAG) application that leverages the functionality of IRIS Vector Search to personalize ChatGPT with the help of the Streamlit web framework, LangChain, and OpenAI. The application uses IRIS as a vector store.

Application Features

  • Ingest Documents (PDF or TXT) into IRIS
  • Chat with the selected Ingested document
  • Delete Ingested Documents
  • OpenAI ChatGPT

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I implemented a Python Flask application for the 2024 Python Contest with a page that provides common form fields for an outgoing email such as the To and CC fields. And it lets you input a message as well as uploading text based attachments.

Then using LlamaIndex in Python, the app analyzes the content you put in and returns to you in a result box if there is anything that should stop you from sending that email.

Take a look at the Github repo here.

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Hi Community,

Play the new video on InterSystems Developers YouTube:

Using LLMs with InterSystems IRIS Interoperability Productions @ Global Summit 2024

https://www.youtube.com/embed/IQ9r0OWYSZ8
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Hey Community,

Watch the new video on InterSystems Developers YouTube:

Securing AI Implementations - Moving from Experimentation to Production @ Global Summit 2024

https://www.youtube.com/embed/HZn4jazdowY
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Hi Community!

We're happy to share the next video in the series dedicated to Gen AI on our InterSystems Developers YouTube:

Open Source and Proprietary LLMs

https://www.youtube.com/embed/-LAzjc5MCac
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Hey Community,

Watch the new video on InterSystems Developers YouTube:

Smart Data Fabric for Generative AI Readiness @ Global Summit 2024

https://www.youtube.com/embed/Z-x6Rk7Bi3I
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Article
· Nov 11, 2024 3m read
EduVerse: Accessible Learning Assistant

🌍 Inclusion & Innovation in Education 🌍
Our project reimagines learning for all students, with a focus on accessibility and interactive experiences. Built with the goal of making education engaging and inclusive, the tool is designed to support students of all abilities in learning complex material in an intuitive way.

💡 What It Does
This educational app transforms lesson presentations into interactive study sessions:

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Hi Community,

Play the new video on InterSystems Developers YouTube:

Large Language Model Use Cases in Healthcare @ Global Summit 2024

https://www.youtube.com/embed/ymW5JEbn1SA
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Hi Community!

We're happy to share the next video in the series dedicated to Gen AI on our InterSystems Developers YouTube:

Open Source LLMs

https://www.youtube.com/embed/BhJy_bj-RyE
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