feat: ch10 readme

Author: mayooear

.env.example

@@ -6,6 +6,8 @@ LANGCHAIN_TRACING_V2=true
 
 LANGCHAIN_PROJECT="learning-langchain"
 
+
+## Supabase keys are only used in Chapter 9 deployment examples
 SUPABASE_URL=
 
 SUPABASE_SERVICE_ROLE_KEY=

ch9/README.md

@@ -1,8 +1,34 @@
-# Learning LangChain Deployment
+# Learning LangChain RAG AI Research Agent Deployment Example
 
+In Chapter 9, you learnt about how to deploy a RAG AI Research agent using LangGraph. This chapter contains the full code for the application discussed in the chapter.
 
-The folder contains a python and javascript version of the application.
+### Environment variables setup
 
-The python version is in the `py` folder.
+First, you need to ensure you have set the environment variables required to run the examples in this repository at the root of the repository (if you haven't already).
 
-The javascript version is in the `js` folder.
+You can find the full list in the `.env.example` file at the root of the repository. Copy this file to a `.env` and fill in the values.
+
+```bash
+cp .env.example .env
+```
+
+- `OPENAI_API_KEY`: You can get your key [here](https://platform.openai.com/api-keys). This will enable you to run the examples that require an openai model.
+- `LANGCHAIN_API_KEY`: You can get your key by creating an account [here](https://smith.langchain.com/). This will enable you to interact with the langsmith tracing and debugging tools.
+- `LANGCHAIN_TRACING_V2=true`: This is required to enable visual tracing and debugging in langsmith for the examples.
+
+Supabase is used as the vector store for the examples. To get your supabase keys:
+
+- Register for a supabase account, go to [supabase.com](https://supabase.com/) and sign up.
+- Once you have an account, create a new project then navigate to the settings section.
+- In the settings section, navigate to the API section to see your keys.
+- Copy the project url and `service_role` key and add them to the `.env` file as values for `SUPABASE_URL` and `SUPABASE_SERVICE_ROLE_KEY`.
+
+
+### Quick Start:
+
+There is a python and javascript version of the RAG AI Research agent application.
+
+The python version is in the `py` folder, whilst the javascript version is in the `js` folder.
+
+- For python, open the `py` folder and follow the instructions in the `README.md` file.
+- For javascript, open the `js` folder and follow the instructions in the `README.md` file.

ch9/py/.env.example

@@ -3,11 +3,12 @@
     "dependencies": {
         "@langchain/community": "^0.3.26",
         "@langchain/core": "^0.3.33",
+        "@langchain/langgraph": "^0.2.41",
         "@langchain/openai": "^0.3.17",
-        "langchain": "^0.3.12",
-        "pg": "^8.13.1",
+        "@supabase/supabase-js": "^2.44.0",
         "duck-duck-scrape": "^2.2.7",
         "expr-eval": "^2.0.2",
-        "@supabase/supabase-js": "^2.44.0"
+        "langchain": "^0.3.12",
+        "pg": "^8.13.1"
     }
 }