Support Redis Vector Search as a VDBStore backend

[izualzhy]

Feature Request

It would be great if AgentScope could support Redis Vector Search as a VDBStore backend.

Many users already have Redis deployed in production. Supporting Redis would allow them to build small and medium-sized RAG applications without introducing an additional vector database such as Qdrant or Milvus.

Redis Vector Search provides native support for vector indexing (HNSW/FLAT), similarity search, and metadata filtering, making it a good fit for the existing KnowledgeBase + VDBStore abstraction.

From my understanding of the current design, this could fit naturally into the existing architecture as another VDBStore implementation:

                     KnowledgeBase
                           │
                           ▼
                     VectorStoreBase
                           │
          ┌────────────────┴────────────────┐
          │                │                │
     QdrantStore          ...        RedisVectorStore (new)
                                            │
                                            ├── create collection / index
                                            ├── insert documents
                                            ├── vector search
                                            ├── delete documents
                                            ├── list documents
                                            └── (metadata_filter)

This would provide a lightweight deployment option while keeping the current architecture unchanged.

If this feature aligns with the project roadmap, I'd be happy to contribute an implementation.

[DavdGao]

@izualzhy Thanks for pointing that out. Redis is a popular and widely used database, and we have turned this discussion into a roadmap issue.