Update README

backend/README.md

@@ -1,23 +1,25 @@
-This is a [LlamaIndex](https://www.llamaindex.ai/) backend using [FastAPI](https://fastapi.tiangolo.com/) bootstrapped with [`create-llama`](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/create-llama).
+# Smart Retrieval Backend
+
+The backend is built using Python & [FastAPI](https://fastapi.tiangolo.com/) bootstrapped with [`create-llama`](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/create-llama).
 
 ## Getting Started
 
 First, setup the environment:
 
-```
+```bash
 poetry install
 poetry shell
 ```
 
 Second, run the development server:
 
-```
+```bash
 python main.py
 ```
 
 Then call the API endpoint `/api/chat` to see the result:
 
-```
+```bash
 curl --location 'localhost:8000/api/chat' \
 --header 'Content-Type: application/json' \
 --data '{ "messages": [{ "role": "user", "content": "Hello" }] }'
@@ -29,7 +31,7 @@ Open [http://localhost:8000/docs](http://localhost:8000/docs) with your browser
 
 The API allows CORS for all origins to simplify development. You can change this behavior by setting the `ENVIRONMENT` environment variable to `prod`:
 
-```
+```bash
 ENVIRONMENT=prod uvicorn main:app
 ```
 
@@ -38,5 +40,5 @@ ENVIRONMENT=prod uvicorn main:app
 To learn more about LlamaIndex, take a look at the following resources:
 
 - [LlamaIndex Documentation](https://docs.llamaindex.ai) - learn about LlamaIndex.
-
-You can check out [the LlamaIndex GitHub repository](https://github.com/run-llama/llama_index) - your feedback and contributions are welcome!
+- [LlamaIndexTS Documentation](https://ts.llamaindex.ai) - learn about LlamaIndexTS (Typescript features).
+- [FastAPI Documentation](https://fastapi.tiangolo.com/) - learn about FastAPI.

frontend/README.md

@@ -1,16 +1,18 @@
-This is a [LlamaIndex](https://www.llamaindex.ai/) frontend using [Next.js](https://nextjs.org/) bootstrapped with [`create-llama`](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/create-llama).
+# Smart Retrieval Frontend
+
+The frontend is built using [Next.js](https://nextjs.org/) & [Vercel AI](https://github.com/vercel/ai) bootstrapped with [`create-llama`](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/create-llama).
 
 ## Getting Started
 
 First, install the dependencies:
 
-```
+```bash
 npm install
 ```
 
 Second, run the development server:
 
-```
+```bash
 npm run dev
 ```
 
@@ -26,5 +28,3 @@ To learn more about LlamaIndex, take a look at the following resources:
 
 - [LlamaIndex Documentation](https://docs.llamaindex.ai) - learn about LlamaIndex (Python features).
 - [LlamaIndexTS Documentation](https://ts.llamaindex.ai) - learn about LlamaIndex (Typescript features).
-
-You can check out [the LlamaIndexTS GitHub repository](https://github.com/run-llama/LlamaIndexTS) - your feedback and contributions are welcome!