Yes, Opus 4.6 can retrieve context from Milvus if you build a retrieval step (or tool) in your application. The model itself doesn’t directly query databases on its own; instead, your system runs vector search in Milvus, collects the top-k results, and then provides them to the model as context. If you use tool calling, you can expose a search_milvus tool that the model can request when it needs information.
Implementation-wise, store your knowledge as embeddings in Milvus or managed Zilliz Cloud, using metadata fields for versioning, language, tenant isolation, and access control. At query time, embed the user question, search with a modest top_k (often 5–20), apply metadata filters (e.g., version == "v2.5"), and return chunk text plus stable IDs and URLs. Then ask Opus 4.6 to answer using only those chunks and to include the IDs/URLs in the response.
This design is especially useful for developer-facing documentation sites and internal portals. It prevents the model from inventing APIs, it keeps answers current as docs update, and it makes the system testable: you can measure retrieval precision and whether answers are supported by retrieved sources. Using Zilliz Cloud simplifies ops while keeping Milvus-compatible retrieval patterns.