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.dockerignore

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+myenv/
+/app/__pycache__/
+./app/__pycache__/
+./app/__pycache__/
+
+*.env
+*.env.*
+env.*
+

.gitignore

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+./myenv
+.env
+./env
+./.env
+/myenv
+myenv

Dockerfile

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+FROM python:3.8.10-slim
+
+WORKDIR /code
+COPY ./requirements.txt /code/requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+COPY ./app /code
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

Readme.md

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+# FastAPI for interacting with langchain and GPT-3.5 based chatbot, with Redis database as the vector store-backed retriever memory.
+
+## How to run
+
+### Using virtual environment:
+
+1. Set up a virtual environment:
+<code>python -m venv myenv</code>
+
+2. Create a .env file and add 'OPENAI_API_KEY', 'REDIS_URL', and 'HUGGINGFACEHUB_API_TOKEN as variables
+
+3. Navigate to the app directory:
+<code>cd app</code>
+
+4. Install the required dependencies:
+<code>pip install -r requirements.txt</code>
+
+5. Run the FastAPI server with uvicorn:
+<code>uvicorn main:app --reload --port=8000 --host=0.0.0.0</code>
+
+
+### Using Docker Compose:
+
+1. Build the Docker images:
+<code>docker-compose build</code>
+
+2. Start the Docker containers:
+<code>docker-compose up</code>
+
+
+## API Documentation
+
+### Changing User for Redis Vector Store
+
+To change the Redis vector store retriever memory to a specific user, send a request to the following endpoint:
+
+<code>localhost:8000/api/{username}</code>
+
+Replace `{username}` with the desired username. This action ensures that the chatbot will only retrieve data from the Redis database specific to that user.
+
+
+### Accessing API Documentation
+
+For detailed documentation on how to interact with the APIs in the application, visit:
+<code>localhost:8000/docs</code>
+
+
+This endpoint provides comprehensive guidance on utilizing the APIs effectively.
+
+---
+
+You can seamlessly integrate this backend into your existing application, providing your users with access to a dedicated vector-based database chatbot. Remember to generate the repsective API keys.
+
+
+

docker-compose.yaml

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+version: '3'
+
+services:
+  app:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    command: sh -c "uvicorn main:app --reload --port=8000 --host=0.0.0.0"
+    ports:
+      - "8000:8000"
+    volumes:
+      - ./app:/code/app
+    environment:
+      - OPENAI_API_KEY=YPUR-OPENAI_API_KEY
+      - REDIS_URL=YOUR-REDIS_URL
+      - HUGGINGFACEHUB_API_TOKEN=YOUR-HUGGINGFACEHUB_API_TOKEN
+
+
+

requirements.txt

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+langchain 
+openai 
+tiktoken 
+langchain_openai
+redis[hiredis]
+python-dotenv
+huggingface_hub
+langchainhub
+langserve[all]
+fastapi
+pydantic==1.10.13
+uvicorn