Build RAG application using Llama-3 with just 4 lines of code ??

Welcome to the?AI in 5?newsletter with Clarifai!

Every week we bring you new models, tools, and tips to build production-ready AI!

This week, we bring you: ??

• RAG template: Get started with building RAG apps
• Build RAG using the latest Llama-3 model from Meta AI
• Using workflows with the new Node JS SDK
• New LLMs: Snowflake Arctic-Instruct, Qwen-VL-Chat and CogVLM-Chat
• AI tip of the week - Get your First Visual Search App in ~1 minute

Build RAG apps using the RAG app template ??

Clarifai app templates are pre-built blueprints that provide a starting point for creating your own applications.

The RAG app template offers a comprehensive guide for building RAG applications effectively using Clarifai.

It enables you to quickly experiment with RAG using your datasets without the need for extensive coding.

Checkout the RAG template

RAG using Llama-3 ??

Retrieval Augmented Generation (RAG) using Llama-3 in just 4 lines of code Llama-3 is the most capable openly available LLM, and building a RAG system is simple with the Clarifai Python SDK.

Checkout the post below! ??

Try RAG using LLama-3

Using workflows with the new Node JS SDK ??

Workflows allow you to combine multiple models and carry out different operations on the platform.

This enables you to create a powerful multi-model system that meets various use cases in a single call.

With the new Node.JS SDK, integrating custom-built workflows into your applications is easy!

Checkout the code here

New wrapped LLMs on the Platform??

• Snowflake-Arctic Instruct: A new cost-effective, enterprise-focused open LLM that excels in SQL, coding, and instruction-following from Snowflake! The model is designed to be both cost-effective and powerful, providing state-of-the-art performance for enterprise applications.
• CogVLM-Chat: An advanced open-source visual language model that can process and understand both visual and textual data. The model utilizes the foundational architecture of CogVLM-17B. Compared to BLIP-2, Otter, and various LLaMA variants, CogVLM-Chat not only surpasses in scoring but also shows comprehensive strength in handling adversarial and complex scenarios.
• Qwen-VL-Chat: A high-performing Large Vision Language Model (LVLM) by Alibaba Cloud for text-image dialogue tasks, excelling in zero-shot captioning, VQA, and referring expression comprehension while supporting multilingual dialogue.

AI tip of the week: ??

Get your first Visual Search App in ~1 minute!

Visual search helps you compare images based on their visual similarity and getting started with your first visual search app is fast and simple.

Set up your Clarifai account ? Create an app ? Upload your images ? Search for similar faces.

Check out the guide here.

Want to learn more from Clarifai? “Subscribe” to make sure you don’t miss the latest news, tutorials, educational materials, and tips. Thanks for reading!