Update introduction in README and docs (#1036)
This commit is contained in:
@@ -4,7 +4,7 @@ title: 📚 Introduction
|
||||
|
||||
## What is Embedchain?
|
||||
|
||||
Embedchain is a production ready Open Source RAG framework - load, index, retrieve, and sync any unstructured data.
|
||||
Embedchain is an Open Source RAG Framework that makes it easy to create and deploy 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 RAG 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.
|
||||
|
||||
|
||||
Reference in New Issue
Block a user