Tool - Python Embedchain

Embedchain

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Overview

Sources:

• ⚡ Quickstart - Embedchain
• embedchain/embedchain: Personalizing LLM Responses

Embedchain is an Open Source Framework for personalizing LLM responses. It makes it easy to create and deploy personalized AI apps. At its core, Embedchain follows the design principle of being “Conventional but Configurable” to serve both software engineers and machine learning engineers.

Embedchain streamlines the creation of personalized LLM applications, offering a seamless process for managing various types of unstructured data. It efficiently segments data into manageable chunks, generates relevant embeddings, and stores them in a vector database for optimized retrieval. With a suite of diverse APIs, it enables users to extract contextual information, find precise answers, or engage in interactive chat conversations, all tailored to their own data.

Installation

pip install embedchain

Demo

Checkout the Chat with PDF live demo we created using Embedchain. You can find the source code here.

Documentation

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

• Introduction
• Getting Started
• Examples
• Supported data types

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Appendix

Note created on 2024-04-04 and last modified on 2024-04-04.

See Also

• Python Code Snippets

• Python - Embedchain API Server

• Python - Chainlit Embedchain Example

• Python MOC

• Tools

• OpenAI

• Streamlit

• Langchain

• Chainlit

Backlinks

LIST FROM [[Tool - Python Embedchain]] AND -"CHANGELOG" AND -"04-RESOURCES/Tools/Tool - Python Embedchain"

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(c) No Clocks, LLC | 2024