Best of RAG — 2023

1. 1
   Article

   Community Picks·3y

   Creating an 👩‍💻 Open Source Search Platform: Search Engines with AI - Swirl 🌌

   Swirl is a unified open-source search platform built with Python and Django. Users can conduct a single query, instantly pooling and presenting relevant data from multiple platforms in one consolidated UI. Built on Python, it carries the Apache 2.0 License, which means developers and businesses can utilize and modify it without any licensing costs.

   33

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2. 2
   Article

   Community Picks·3y

   Retrieval Augmented Generation (RAG): How To Get AI Models Learn Your Data & Give You Answers

   Retrieval Augmented Generation, or RAG, is a potential solution for this. It's a form of Open Domain Question Answering with a Retriever and a Generative AI Model. It combines a search system with AI models like ChatGPT, Llama2, etc. It searches a vast knowledge base for up-to-date data and articles.

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3. 3
   Article

   freeCodeCamp·2y

   Vector Search and RAG Tutorial – Using LLMs with Your Data

   Learn how to implement Vector Search and the RAG architecture in your applications using Atlas Vector Search. Vector embeddings can be used to organize data and perform semantic similarity searches. RAG improves response generation by utilizing relevant retrieved documents.

   18
4. 4
   Article

   Salesforce Developers Blog·3y

   Building AI Applications with LangChain and Node.js

   Learn how generative AI can be used to query content, the concept of retrieval-augmented generation (RAG), and the features and applications of LangChain, a comprehensive toolkit for integrating AI-powered language capabilities into applications.

   14

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5. 5
   Article

   Hacker Noon·3y

   Prompt Engineering: Understanding the Potential of Large Language Models

   Understand the potential of Large Language Models and their applications.

   10