Env Var Configuration Assistance

help me configure these env variables: # Neo4j Configuration NEO4J_URI=bolt://localhost:7687 NEO4J_USER=neo4j NEO4J_PASSWORD=your_password # Ollama Configuration OLLAMA_BASE_URL=http://localhost:11434 OLLAMA_MODEL=llama2 OLLAMA_EMBEDDING_MODEL=nomic-embed-text # Vector Store Configuration VECTOR_STORE_PATH=./vector_store EMBEDDING_DIM=768 # nomic-embed-text dimension # API Configuration API_HOST=0.0.0.0 API_PORT=8000 API_WORKERS=4 # Logging Configuration LOG_LEVEL=INFO LOG_FILE=knowledge_graph.log # Extraction Configuration BATCH_SIZE=10 MAX_TOKENS=2000 CONFIDENCE_THRESHOLD=0.5 # Search Configuration DEFAULT_VECTOR_WEIGHT=0.5 DEFAULT_MAX_RESULTS=10

It looks like you need help configuring your environment variables for a Neo4j and Ollama-powered knowledge graph with a vector store. Here’s how you can set them up: ### 1. **Set Up `.env` File (Recommended)** Create a `.env` file in the root directory of your project and paste the following: ```ini # Neo4j Configuration NEO4J_URI=bolt://localhost:7687 NEO4J_USER=neo4j NEO4J_PASSWORD=your_password # Ollama Configuration OLLAMA_BASE_URL=http://localhost:11434 OLLAMA_MODEL=llama2 OLLAMA_EMBEDDING_MODEL=nomic-embed-text # Vector Store Configuration VECTOR_STORE_PATH=./vector_store EMBEDDING_DIM=768 # nomic-embed-text dimension # API Configuration API_HOST=0.0.0.0 API_PORT=8000 API_WORKERS=4 # Logging Configuration LOG_LEVEL=INFO LOG_FILE=knowledge_graph.log # Extraction Configuration BATCH_SIZE=10 MAX_TOKENS=2000 CONFIDENCE_THRESHOLD=0.5 # Search Configuration DEFAULT_VECTOR_WEIGHT=0.5 DEFAULT_MAX_RESULTS=10 ``` Then, in your Python application, load these variables using `dotenv`: ```python from dotenv import load_dotenv import os load_dotenv() # Load variables from .env NEO4J_URI = os.getenv("NEO4J_URI") NEO4J_USER = os.getenv("NEO4J_USER") NEO4J_PASSWORD = os.getenv("NEO4J_PASSWORD") OLLAMA_BASE_URL = os.getenv("OLLAMA_BASE_URL") OLLAMA_MODEL = os.getenv("OLLAMA_MODEL") OLLAMA_EMBEDDING_MODEL = os.getenv("OLLAMA_EMBEDDING_MODEL") VECTOR_STORE_PATH = os.getenv("VECTOR_STORE_PATH") EMBEDDING_DIM = int(os.getenv("EMBEDDING_DIM", 768)) # Default to 768 if missing API_HOST = os.getenv("API_HOST", "0.0.0.0") API_PORT = int(os.getenv("API_PORT", 8000)) API_WORKERS = int(os.getenv("API_WORKERS", 4)) LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO") LOG_FILE = os.getenv("LOG_FILE", "knowledge_graph.log") BATCH_SIZE = int(os.getenv("BATCH_SIZE", 10)) MAX_TOKENS = int(os.getenv("MAX_TOKENS", 2000)) CONFIDENCE_THRESHOLD = float(os.getenv("CONFIDENCE_THRESHOLD", 0.5)) DEFAULT_VECTOR_WEIGHT = float(os.getenv("DEFAULT_VECTOR_WEIGHT", 0.5)) DEFAULT_MAX_RESULTS = int(os.getenv("DEFAULT_MAX_RESULTS", 10)) ``` ### 2. **Export Environment Variables (Linux/macOS)** If you don’t want to use a `.env` file, you can manually export them: ```bash export NEO4J_URI="bolt://localhost:7687" export NEO4J_USER="neo4j" export NEO4J_PASSWORD="your_password" export OLLAMA_BASE_URL="http://localhost:11434" export OLLAMA_MODEL="llama2" export OLLAMA_EMBEDDING_MODEL="nomic-embed-text" export VECTOR_STORE_PATH="./vector_store" export EMBEDDING_DIM=768 export API_HOST="0.0.0.0" export API_PORT=8000 export API_WORKERS=4 export LOG_LEVEL="INFO" export LOG_FILE="knowledge_graph.log" export BATCH_SIZE=10 export MAX_TOKENS=2000 export CONFIDENCE_THRESHOLD=0.5 export DEFAULT_VECTOR_WEIGHT=0.5 export DEFAULT_MAX_RESULTS=10 ``` You can add these lines to your `~/.bashrc` or `~/.zshrc` to persist them. ### 3. **For Docker (`docker-compose.yml`)** If you're running your app in a Docker container, you can pass the environment variables via `docker-compose.yml`: ```yaml version: "3.8" services: app: build: . ports: - "8000:8000" environment: NEO4J_URI: "bolt://neo4j:7687" NEO4J_USER: "neo4j" NEO4J_PASSWORD: "your_password" OLLAMA_BASE_URL: "http://localhost:11434" OLLAMA_MODEL: "llama2" OLLAMA_EMBEDDING_MODEL: "nomic-embed-text" VECTOR_STORE_PATH: "./vector_store" EMBEDDING_DIM: "768" API_HOST: "0.0.0.0" API_PORT: "8000" API_WORKERS: "4" LOG_LEVEL: "INFO" LOG_FILE: "knowledge_graph.log" BATCH_SIZE: "10" MAX_TOKENS: "2000" CONFIDENCE_THRESHOLD: "0.5" DEFAULT_VECTOR_WEIGHT: "0.5" DEFAULT_MAX_RESULTS: "10" ``` Let me know if you need further refinements! 🚀

how do I get the neo4j information

To get your **Neo4j connection details**, follow these steps depending on how you have Neo4j installed: --- ## **1. If Neo4j is Running Locally (Default Installation)** ### **Check Connection URI** - The default connection URI for a local Neo4j instance is: ``` bolt://localhost:7687 ``` - **Bolt** is the protocol used to connect to Neo4j. - `localhost` means it's running on your local machine. - `7687` is the default Bolt port. ### **Check Username and Password** - Default **username** is: ``` neo4j ``` - The first time you start Neo4j, you'll be prompted to set a **password**. If you forget it, you can reset it (see below). ### **Check if Neo4j is Running** - Run the following command: ```sh neo4j status ``` If Neo4j is running, you should see an output confirming it. --- ## **2. If Neo4j is Running in Docker** If you installed Neo4j using Docker, find the running container: ### **Find Running Container** ```sh docker ps | grep neo4j ``` ### **Get Environment Variables** If you want to see the connection details inside the running container: ```sh docker inspect <container_id> | grep "7687" ``` ### **Connect from Outside Docker** If you started Neo4j with a `docker run` command like: ```sh docker run \ --name neo4j \ -p 7474:7474 -p 7687:7687 \ -e NEO4J_AUTH=neo4j/your_password \ neo4j ``` Your connection details will be: - **URI**: `bolt://localhost:7687` - **Username**: `neo4j` - **Password**: `your_password` (replace with what you set) --- ## **3. If Neo4j is Running on a Remote Server** If your Neo4j instance is running on a cloud VM or another machine: ### **Find Public IP** - If it's running on a Linux server, check its IP: ```sh hostname -I ``` - If it's a cloud service, check the public IP in your cloud provider’s dashboard. ### **Check the Connection URI** Your **URI** will be: ``` bolt://<your_server_ip>:7687 ``` For example: ``` bolt://192.168.1.100:7687 ``` ### **Check Username and Password** - If using **Neo4j Aura (Cloud Service)**, you can find your credentials in the **Neo4j Aura Console**. - If hosted manually, use the password set during installation. --- ## **4. Reset Neo4j Password (If Forgotten)** If you forgot your Neo4j password, reset it using: ### **Reset Password (Local)** 1. Stop Neo4j: ```sh neo4j stop ``` 2. Open the configuration file: ```sh sudo nano /var/lib/neo4j/data/dbms/auth ``` - Remove the existing password hash. 3. Restart Neo4j: ```sh neo4j start ``` 4. Set a new password in the Neo4j Browser (`http://localhost:7474`). ### **Reset Password (Docker)** Run: ```sh docker exec -it neo4j bin/cypher-shell -u neo4j -p old_password ``` Then reset it with: ```cypher ALTER USER neo4j SET PASSWORD 'new_password'; ``` --- ## **Final Configuration** Once you have your credentials, update your `.env` file: ```ini NEO4J_URI=bolt://localhost:7687 NEO4J_USER=neo4j NEO4J_PASSWORD=your_password ``` Let me know if you need further troubleshooting! 🚀