Want to really understand how RAG, vector search & chunking work?

Then stop reading theory and build your own chatbot.

This guide shows you how to create a local PDF chatbot using:

☕ LangChain

☕ FAISS (vector DB)

☕ Mistral via Ollama

☕ Python & Streamlit

Step-by-step, from environment setup to deployment. Ideal for learning how Retrieval-Augmented Generation works in practice.

👉 https://medium.com/data-science-collective/rag-in-action-build-your-own-local-pdf-chatbot-as-a-beginner-96c2833869ff

Comment “WANT” if you need the friends link to the article, as you don’t have paid Medium.

#rag #tech #Technology #chatbot #AI #ki #python #vector #langchain #datascience #DataScientist #streamlit

Want to really understand how RAG, vector search & chunking work?

Then stop reading theory and build your own chatbot.

This guide shows you how to create a local PDF chatbot using:

☕ LangChain

☕ FAISS (vector DB)

☕ Mistral via Ollama

☕ Python & Streamlit

Step-by-step, from environment setup to deployment. Ideal for learning how Retrieval-Augmented Generation works in practice.

👉 https://medium.com/data-science-collective/rag-in-action-build-your-own-local-pdf-chatbot-as-a-beginner-96c2833869ff

Comment “WANT” if you need the friends link to the article, as you don’t have paid Medium.

#rag #tech #Technology #chatbot #AI #ki #python #vector #langchain #datascience #DataScientist #streamlit

Dernier sujet : la mal-nommée intelligence artificielle générative.
Plus précisément, les grands modèles de langages (LLM) et RAG (récupération-génération documentaire) dans un contexte ESR. On est en train de mettre en place infrastructures et services avec une objectivation de l'impact environnemental.

L'UNIF est pour le moment juste en soutien pour le montage, l'hébergement et sur les mesures de l'impact.

Est-ce qu'un service de #RAG spécifique à l'ESR vous semble pertinent/nécessaire ?