# VectorFlow

> Open-source high-throughput vector embedding pipeline for ingesting raw data, transforming into vectors, and loading into vector databases. Technology-agnostic with automatic retry and fault tolerance.

- **URL:** https://www.getvectorflow.com/
- **Category:** Data Integration & Migration
- **Tags:** etl, pipeline, Open Source
- **Updated:** 2026-03-11 12:14
- **Canonical page:** https://vectordb.ever.works/items/vectorflow

## Details

## 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.

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