Update README.md

Author: cfa532

README.md

@@ -1,13 +1,8 @@
-# Chroma and LangChain Demo
-This repository contains code and resources for demonstrating the power of Chroma and LangChain for asking questions about your own data. 
-The demo showcases how to pull data from the English Wikipedia using their API. The project also demonstrates how to vectorize data in chunks and get embeddings using OpenAI embeddings model.
+# Contents
+The content in Main branch is way outdated. The two meaningful branches are Secretari and AI-Chat.
 
-We then use [LangChain](https://github.com/hwchase17/langchain) to ask questions based on our data which is vectorized using OpenAI embeddings model. 
-I used [Chroma](https://github.com/chroma-core/chroma) a database for storing and querying vectorized data.
-
-## Getting Started
-To get started with the demo, you will need to have Python (I use Python 3.8) installed on your machine. You will also need to install the required Python packages by running the following command:
-`pip install -r requirements.txt`
+## Secretari
+FastAPI for authentication and authroization, Langchain for AI interface. This one is for 
 
  **You can change the `_ALGORITHMS` constant to whatever you want to query other topics on Wikipedia.**
 
@@ -32,4 +27,4 @@ TESSDATA_PREFIX=/tessdata文件所在目录。其中eng数据是必须的，否
 brew install tesseract
 
 Law documents may update from time to time. How to keep up with it and always have valid information in the collections.
-metadata includes { source: file name, category: 司法解释, valid: 1, timestamp: a number}
+metadata includes { source: file name, category: 司法解释, valid: 1, timestamp: a number}