OpenAI API Key: Set your OpenAI API key for embeddings:
```
export OPENAI_API_KEY="your-openai-api-key"
```
Milvus Server: Make sure Milvus server is running:

You can also use fully managed Milvus on Zilliz Cloud. In this case, set the MILVUS_ADDRESS as the Public Endpoint and MILVUS_TOKEN as the Token like this:
```
export MILVUS_ADDRESS="https://your-cluster.zillizcloud.com"
export MILVUS_TOKEN="your-zilliz-token"
```
You can also set up a Milvus server on Docker or Kubernetes. In this setup, please use the server address and port as your uri, e.g.http://localhost:19530. If you enable the authentication feature on Milvus, set the token as "<your_username>:<your_password>", otherwise there is no need to set the token.
```
export MILVUS_ADDRESS="http://localhost:19530"
export MILVUS_TOKEN="<your_username>:<your_password>"
```

Running the Example

Install dependencies:
```
pnpm install
```
Set environment variables (see examples above)
Run the example:
```
pnpm run start
```

What This Example Does

Indexes Codebase: Indexes the entire Claude Context project
Performs Searches: Executes semantic searches for different code patterns
Shows Results: Displays search results with similarity scores and file locations

Expected Output

🚀 Claude Context Real Usage Example
===============================
...
🔌 Connecting to vector database at: ...

📖 Starting to index codebase...
🗑️  Existing index found, clearing it first...
📊 Indexing stats: 45 files, 234 code chunks

🔍 Performing semantic search...

🔎 Search: "vector database operations"
   1. Similarity: 89.23%
      File: /path/to/packages/core/src/vectordb/milvus-vectordb.ts
      Language: typescript
      Lines: 147-177
      Preview: async search(collectionName: string, queryVector: number[], options?: SearchOptions)...

🎉 Example completed successfully!