Milvus
Open-source vector database for financial AI — GPU-accelerated indexing and trillion-scale vector search for enterprise RAG pipelines over financial documents.
Milvus is an open-source vector database purpose-built for AI applications, offering GPU-accelerated indexing and trillion-scale vector search capabilities used by financial institutions for large-scale document retrieval and semantic search. Its distributed architecture supports horizontal scaling across commodity hardware, making it cost-effective for financial institutions indexing millions of documents. Milvus supports multiple indexing algorithms including IVF, HNSW, and DiskANN, allowing finance teams to optimize for memory usage, speed, or accuracy based on their specific use case. GPU acceleration enables fast reindexing for time-sensitive financial data, while hybrid search combines vector similarity with metadata filtering for precise document retrieval. Milvus is available as a managed cloud service (Zilliz Cloud) or self-hosted for regulated financial institutions requiring data sovereignty.
Key Features
- ✓Open-source vector database with Apache 2.0 license
- ✓GPU-accelerated indexing for fast financial document reindexing
- ✓Trillion-scale vector search with distributed architecture
- ✓Multiple indexing algorithms (IVF, HNSW, DiskANN)
- ✓Hybrid search combining vectors with metadata filtering
Pros
- ✓GPU acceleration enables fast reindexing for time-sensitive financial data
- ✓Open-source with no vendor lock-in for regulated institutions
- ✓Trillion-scale capable for large financial document collections
Cons
- ✗Self-hosted deployment requires significant infrastructure expertise
- ✗Documentation less polished than managed alternatives
- ✗GPU instances can be expensive for on-premise deployments
Pricing
Prices are indicative and may vary.