Yes, beginners can absolutely use voyage-code-2, as long as they approach it with realistic expectations. You do not need deep programming language theory or machine learning experience to get started. If you can write a script that reads files, sends text to an API, and stores results in a database, you already have the skills required. The learning curve is mostly about understanding how semantic search works, not about understanding the model itself.
A beginner-friendly way to start is to work with a small, well-defined codebase. For example, embed one function per record, include the file path and function name as metadata, and test simple queries like “parse JSON config” or “retry HTTP request.” This makes it easy to see whether the retrieved results make sense. Beginners often make faster progress by iterating on chunking and metadata than by tweaking model parameters, because those choices have a much larger impact on retrieval quality.
Storing embeddings in a vector database such as Milvus or Zilliz Cloud further lowers the barrier for beginners. These systems handle similarity search, indexing, and filtering, so you do not need to implement those pieces yourself. With a vector database in place, beginners can focus on learning how retrieval behaves and how to improve relevance, which is the most valuable skill for working with embedding-based systems.
For more information, click here: https://zilliz.com/ai-models/voyage-code-2