Artwork

Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Build Your Own RAG App: A Step-by-Step Guide to Setup LLM locally using Ollama, Python, and ChromaDB

11:33
 
Share
 

Manage episode 427367409 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/build-your-own-rag-app-a-step-by-step-guide-to-setup-llm-locally-using-ollama-python-and-chromadb.
In an era where data privacy is paramount, setting up your own local language model (LLM) provides a crucial solution for companies and individuals alike.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #rag-architecture, #ollama, #python, #ai, #local-large-language-model, #hackernoon-top-story, #build-rag-app, #retrieval-augmented-generation, and more.
This story was written by: @nassermaronie. Learn more about this writer by checking @nassermaronie's about page, and for more stories, please visit hackernoon.com.
This tutorial will guide you through the process of creating a custom chatbot using [Ollama], [Python 3, and [ChromaDB] Hosting your own Retrieval-Augmented Generation (RAG) application locally means you have complete control over the setup and customization.

  continue reading

316 episodes

Artwork
iconShare
 
Manage episode 427367409 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/build-your-own-rag-app-a-step-by-step-guide-to-setup-llm-locally-using-ollama-python-and-chromadb.
In an era where data privacy is paramount, setting up your own local language model (LLM) provides a crucial solution for companies and individuals alike.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #rag-architecture, #ollama, #python, #ai, #local-large-language-model, #hackernoon-top-story, #build-rag-app, #retrieval-augmented-generation, and more.
This story was written by: @nassermaronie. Learn more about this writer by checking @nassermaronie's about page, and for more stories, please visit hackernoon.com.
This tutorial will guide you through the process of creating a custom chatbot using [Ollama], [Python 3, and [ChromaDB] Hosting your own Retrieval-Augmented Generation (RAG) application locally means you have complete control over the setup and customization.

  continue reading

316 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide