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@llm-tools/embedjs

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

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<p align="center"> <img src="docs/logo/dark.webp" width="400px" alt="EmbedJs Logo"> </p> <p align="center"> <a href="https://www.npmjs.com/package/@llm-tools/embedjs" target="_blank"><img alt="License" src="https://img.shields.io/npm/l/%40llm-tools%2Fembedjs?style=for-the-badge"></a> <a href="https://www.npmjs.com/package/@llm-tools/embedjs" target="_blank"><img alt="NPM Version" src="https://img.shields.io/npm/v/%40llm-tools/embedjs?style=for-the-badge"></a> </p> <hr /> ## 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: - [Introduction](https://llm-tools.mintlify.app/get-started/introduction#what-is-embedjs) - [Getting Started](https://llm-tools.mintlify.app/get-started/quickstart) - [Supported data types](https://llm-tools.mintlify.app/components/data-sources/overview) - [Examples](https://llm-tools.mintlify.app/examples) ## 🌐 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](CONTRIBUTING.md). <a href="https://github.com/llm-tools/embedjs/graphs/contributors"> <img src="https://contrib.rocks/image?repo=llm-tools/embedJs" /> </a>