VectorFlow

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.