Retrieval Augmented Generation (RAG): A simple RAG pipeline based on Gemini & Chromadb & Gradio
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Retrieval Augmented Generation (RAG): A simple RAG pipeline based on Gemini & Chromadb & Gradio
🚀In this comprehensive tutorial series, we delve into the world of developing a Retrieval Augmented Generation (RAG) application. If you're looking to create a chatbot using advanced technologies like GEMINI and Chromadb, you're in the right place! This video is designed for everyone interested in building a RAG system, whether you're an experienced developer or just starting out.
In the first three parts of our series:
Text Generation and Chat Coding with GEMINI API: Learn how to implement and use the GEMINI API to create dynamic text-based interactions.
*Building Vector Storage and Similarity Search with Persistent Chromadb:* Discover how to efficiently store and retrieve vectors using Chromadb.
In this fourth part, titled "SIMPLE RAG APPLICATION BASED ON GEMINI & CHROMADB," we aim to build a functional RAG pipeline using these powerful tools. Here's what you can expect:
*Key Steps Covered in the Video:*
1. *Building a Knowledge Base from Scratch with Persistent Chromadb:* Learn how to create a robust knowledge base from multiple documents.
2. *Uploading Multiple Documents and Creating a Knowledge Base:* A step-by-step guide to uploading and organizing your documents.
3. *Testing the Knowledge Base:* Methods to ensure your knowledge base is working correctly.
4. *Loading a Knowledge Base from Persistent Chromadb:* Learn how to efficiently load your knowledge base.
5. *LLM Connection: Chat API with Google GEMINI:* Integrate the Google GEMINI model for better interaction.
6. *Creating a RAG Pipeline for the Existing Knowledge Base:* Develop a seamless pipeline to use your knowledge base with GEMINI.
7. *A Simple Loop for User Interaction:* Implement a user-friendly loop.
8. *A Gradio Interface for RAG:* Create an intuitive interface using Gradio for a better user experience.
All these steps will be implemented and coded with Python on Google Colab, making it easy to follow along and replicate the process.
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SIMPLE RAG APPLICATION BASED ON GEMINI & CHROMADB
#RAG #Chatbot #Chromadb #Gemini #Coding #Python #GoogleColab #MachineLearning #ArtificialIntelligence #MuratKarakayaAcademy
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