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vectorflow

dgarnitz/vectorflow

High volume vector embedding pipeline with support for multiple vector databases

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

45views this month

703 stars51 forksLast push May 16, 2024 Python Apache-2.0

Decision brief

VectorFlow is a Python library that supports high volume transformation of raw data into vector embeddings and storage in multiple vector databases.

Good fit when

- When your project requires handling large volumes of data that need to be transformed into vector embeddings efficiently.
- In scenarios where compatibility with various vector database systems is crucial for seamless integration.

Avoid when

- If your application only deals with small datasets and does not benefit from high-volume processing capabilities offered by VectorFlow.
- When the specific requirements of your project mandate using a single, particular vector database system as opposed to leveraging multiple options(VectorFlow provides).

Observed Jul 12, 2026 · Source: enrich:decision_facts

vectorflow alternatives Trust report

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (703) are secondary evidence.

Docker Hub pulls (30d): 161·Docker Hub API·Sep 20, 2026

Maintenance and security

Full trust report

Maintenance: Dormant (856d since push); As of Sep 20, 2026
Provenance: Not a fork · Personal account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install vectorflow

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

VectorFlow is a Python library designed to transform raw data into vector embeddings and store them in various vector databases.

Capability facts

Deploy: Self-host
Source: dockerfile:docker-compose.yml · Sep 20, 2026
Docker: Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 20, 2026
Languages: python
Source: github.language · Sep 20, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

nt, make sure to pull version 1.9.1 since that is the version the qdrant client python package is supposed to work with.

Source link

README

Docker Compose The best way to run VectorFlow is via . If you are running this on Mac, please grant Docker permissions to read from your Documents folder as instructed here. If this fails, remove the section from the . 2) Run Docker Compose Make sure you pull Rabbit MQ, Postgres,...

For agents

This page has a .md twin and JSON over the API.

/tools/dgarnitz-vectorflow.md GET /api/graphcanon/tools/dgarnitz-vectorflow GET /api/graphcanon/graph?tool=dgarnitz-vectorflow