Artwork

Innhold levert av HackerNoon. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av HackerNoon eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!

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

11:33
 
Del
 

Manage episode 427367409 series 3474148
Innhold levert av HackerNoon. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av HackerNoon eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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

265 episoder

Artwork
iconDel
 
Manage episode 427367409 series 3474148
Innhold levert av HackerNoon. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av HackerNoon eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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

265 episoder

Alle episoder

×
 
Loading …

Velkommen til Player FM!

Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.

 

Hurtigreferanseguide

Copyright 2024 | Sitemap | Personvern | Vilkår for bruk | | opphavsrett