Скачать или смотреть Build a RAG Application using LangChain.js - Step 10

This is a code walkthrough in 10 steps. The code is the JavaScript version of a python RAG application coded by Jodie Burchell.

The application accepts one or more PDF documents, and allows the user to ask questions to an LLM and have it respond with information related to these documents.

Part of the Building a RAG Application using LangChain.js Playlist:
   • Building a RAG Application using LangChain.js  

Source code: https://github.com/in-tech-gration/La...
Original repository: https://github.com/t-redactyl/simple-...

Software:

https://ollama.com
https://www.docker.com
https://www.langchain.com

References and resources:

Learn about Vectors from the LLM Compendium:    • LLM Compendium: Vectors  

The video that inspired this series: Beyond the Hype: A Realistic Look at Large Language Models • Jodie Burchell • GOTO 2024:    • Beyond the Hype: A Realistic Look at Large...  

RAG paper: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks: https://arxiv.org/abs/2005.11401

To learn more about Large Language Models, make sure to check out our LLM Compendium playlist:    • LLM Compendium  

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