AutoFlow

What is AutoFlow?

AutoFlow is a Knowledge Graph-based Retrieval-Augmented Generation (RAG) system built with TiDB Serverless Vector Storage and LlamaIndex. It is designed to provide users with an efficient way to access and query information related to TiDB, making it easier to find answers to various questions.

Some of the key features and benefits of AutoFlow include:

Integration with TiDB Serverless Vector Storage for enhanced data management.

Utilization of LlamaIndex for improved information retrieval.

Ability to answer a wide range of questions about TiDB, including support for foreign keys and vector search.

Cost-effective solution, with potential savings compared to traditional database services.

AutoFlow Features

AutoFlow is a powerful AI assistant designed to leverage a Knowledge Graph-based Retrieval-Augmented Generation (RAG) system, built with TiDB Serverless Vector Storage and LlamaIndex. This innovative tool allows users to ask a variety of questions related to TiDB, making it an essential resource for developers and database administrators.

Some of the key features and capabilities of AutoFlow include:

Integration with TiDB Serverless Vector Storage for efficient data handling.

Utilization of LlamaIndex to enhance the retrieval of relevant information.

Ability to answer complex queries about TiDB, including support for foreign keys and vector search.

Cost-effective solutions, with TiDB Serverless being up to 70% cheaper than MySQL RDS.

Why AutoFlow?

AutoFlow offers a unique value proposition by leveraging a Knowledge Graph based Retrieval-Augmented Generation (RAG) system built with TiDB Serverless Vector Storage and LlamaIndex. This innovative approach allows users to ask complex questions about TiDB and receive accurate, contextually relevant answers, enhancing the overall user experience.

Some of the key benefits and advantages of using AutoFlow include:

Cost-effectiveness: TiDB Serverless is up to 70% cheaper than traditional MySQL RDS solutions.

Scalability: The serverless architecture allows for seamless scaling based on user demand.

Enhanced performance: The integration of vector storage optimizes data retrieval and processing speeds.

Comprehensive support: Users can inquire about various aspects of TiDB, including foreign key support and vector search capabilities.

How to Use AutoFlow

To get started with AutoFlow, you can follow the comprehensive tutorial guide available on the official website. This guide will walk you through the initial setup and configuration, ensuring that you can effectively utilize the features of AutoFlow.

Some key features of AutoFlow that you will learn about in the tutorial include:

Integration with TiDB Serverless Vector Storage

Utilization of LlamaIndex for enhanced data management

Building your own deployment using Docker

Accessing the API for custom queries and interactions

Ready to see what AutoFlow can do for you?[@portabletext/react] Unknown block type "span", specify a component for it in the `components.types` propand experience the benefits firsthand.