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Create RAG-powered apps with Box loader for LangChain.js

Blog post from Box

Post Details
Company
Box
Date Published
Author
Olga Stefaniuk, Developer Advocate at Box
Word Count
446
Company Posts That Month
26
Language
English
Hacker News Points
-
Post removed?
No
Summary

Langchainjs-box is a newly launched document loader that integrates Box's Intelligent Content Management platform with LangChain.js applications, facilitating the development of Retrieval-Augmented Generation (RAG) applications. This package simplifies the incorporation of Box files and folders, supporting Box's innovative Markdown representations for various document formats like Microsoft Office, Google Workspace, and PDFs, optimizing them for embedding and retrieval in LLM-powered applications. It offers flexible content loading options, including specific files or entire folders, and supports multiple authentication methods via BoxAuth. Installation is straightforward through npm, and users are encouraged to explore its capabilities and provide feedback as the package is set to evolve with LangChain's upcoming major version update.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
RAG 6 1,167 195 86 +2%
Vector Search 2 1,541 318 153 -17%
LLM 1 5,048 855 225 +5%
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