Overview
DashVector is a fully-managed vector search service based on Proxima, an efficient vector engine developed by Alibaba's Tongyi Lab. The service provides cloud-native, horizontally scalable vector retrieval capabilities.
Key Features
Cloud-Native Architecture
- Fully managed on cloud infrastructure
- No server maintenance required
- Automatic scaling based on workload
- High availability and reliability
- Built on Proxima vector search engine
- Low-latency search on large-scale data
- Horizontal and vertical scaling capabilities
- Efficient vector retrieval algorithms
- Instant vector status updates
Real-Time Indexing
- Flat index architecture supporting streaming data
- Online indexing from scratch
- Instant effect when vectors are added, deleted, or modified
- No rebuild required for updates
- Continuous data ingestion support
Integration & API
Simple APIs
- RESTful API for vector operations
- Python SDK available via PyPI (
pip install dashvector)
- Easy integration with applications
- Comprehensive documentation
Vector Management
- Insert, update, and delete operations
- Batch operations support
- Metadata filtering
- Multi-field indexing
Use Cases
E-Commerce
- Smart search based on product similarities
- Preference-based recommendations
- Visual search for products
- Personalized shopping experiences
Large Language Models
- Semantic search for RAG applications
- Context retrieval for LLMs
- Knowledge base augmentation
- Question-answering systems
Multi-Modal AI Search
- Text-to-image search
- Image-to-image similarity
- Cross-modal retrieval
- Video content search
Scientific Applications
- Molecular structure analysis
- Drug discovery similarity search
- Protein structure comparison
- Chemical compound screening
- Image similarity search
- Video content discovery
- Photo organization
- Content-based recommendations
Technical Capabilities
Proxima Engine
- High-performance vector indexing
- Advanced ANN algorithms
- Optimized for large-scale deployments
- Proven at Alibaba scale
Data Management
- Support for various distance metrics
- Efficient storage optimization
- Automatic index management
- Built-in data persistence
ModelScope Integration
- Vectorize multi-modal data using ModelScope models
- Open-source multi-modal embedding models
- Seamless model integration
- Pre-trained model support
Deployment
Alibaba Cloud Service
- Available through Alibaba Cloud console
- Pay-as-you-go pricing model
- Regional deployment options
- Enterprise support available
SDK Installation
pip install dashvector
Getting Started
- Create DashVector instance on Alibaba Cloud
- Obtain API credentials
- Install SDK
- Start indexing and searching vectors
- Low-latency queries on billion-scale datasets
- High QPS (Queries Per Second) capability
- Efficient memory utilization
- Optimized for production workloads
Pricing
Managed service with consumption-based pricing through Alibaba Cloud. Costs vary based on:
- Number of vectors stored
- Query volume
- Instance size and configuration
- Data transfer
Availability
Available globally through Alibaba Cloud regions with support for various compliance requirements and data residency needs.
