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@cherrystudio/embedjs

0.1.31
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  • License Apache-2.0

A NodeJS RAG framework to easily work with LLMs and custom datasets

Package Exports

  • @cherrystudio/embedjs
  • @cherrystudio/embedjs/src/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@cherrystudio/embedjs) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

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What is EmbedJs?

EmbedJs is an Open Source Framework for personalizing LLM responses. An ultimate toolkit for building powerful Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) applications with ease in Node.js.

It segments data into manageable chunks, generates relevant embeddings, and stores them in a vector database for optimized retrieval. It enables users to extract contextual information, find precise answers, or engage in interactive chat conversations, all tailored to their own data.

📖 Documentation

Comprehensive guides and API documentation are available to help you get the most out of EmbedJs:

🌐 Contributing

Contributions are welcome! Please check out the issues on the repository, and feel free to open a pull request. For more information, please see the contributing guidelines.