It is a framework to easily create LLM powered bots over any dataset. It abstracts the entire process of loading a dataset, chunking it, creating embeddings, and then storing it in a vector database.
embedchain is a tool in the Datasets & Benchmarks category of a tech stack.
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What are some alternatives to embedchain?
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
It allows you to run open-source large language models, such as Llama 2, locally.
ChatGPT, LangChain are some of the popular tools that integrate with embedchain. Here's a list of all 2 tools that integrate with embedchain.