Overview
VectorFlow is an open-source, high-throughput, fault-tolerant vector embedding pipeline with a simple API endpoint. It ingests large volumes of raw data, processes it into vectors, and stores or returns them quickly and reliably.
Key Features
Technology Agnostic
- Universal Source Support: Ingest from any data source type
- Multiple Embedding Models: Support for various embedding providers
- Flexible Destinations: Write to different vector databases
- API-Based: Simple REST API interface
High Throughput
- Parallel Processing: Easily parallelized embedding operations
- Scalable Architecture: Handle large volumes of data quickly
- Batch Processing: Efficient batch operations
- Performance Optimized: Built for speed
Fault Tolerance
- Automatic Retries: Ensures all data is embedded
- Error Recovery: Robust error handling
- Reliability: Production-grade reliability guarantees
- Data Integrity: No data loss during processing
Supported Vector Databases
Currently supports:
- Pinecone: Managed vector database
- Qdrant: High-performance vector search
- Weaviate: AI-native vector database
Pricing
Free and open-source.
