---
title: "vectorai"
type: "tool"
slug: "vector-ai-vectorai"
canonical_url: "https://www.graphcanon.com/tools/vector-ai-vectorai"
github_url: "https://github.com/vector-ai/vectorai"
homepage_url: "https://relevance.ai/vectors"
stars: 320
forks: 42
primary_language: "Python"
license: "Apache-2.0"
archived: false
categories: ["vector-databases", "model-training"]
tags: ["neural-networks", "clustering", "embeddings", "deep-learning", "compare-vectors", "encodings", "artificial-intelligence", "machine-learning"]
updated_at: "2026-07-11T11:36:34.906541+00:00"
---

# vectorai

> Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

## Facts

- Repository: https://github.com/vector-ai/vectorai
- Homepage: https://relevance.ai/vectors
- Stars: 320 · Forks: 42 · Open issues: 12 · Watchers: 8
- Primary language: Python
- License: Apache-2.0
- Last pushed: 2024-03-01T00:52:52+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Dormant (computed 2026-07-11T11:36:33.248Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T11:36:33.917Z
- Full report: [trust report](/tools/vector-ai-vectorai/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/vector-ai-vectorai/trust)

## Categories

- [Vector Databases](/categories/vector-databases.md)
- [Model Training](/categories/model-training.md)

## Tags

neural-networks, clustering, embeddings, deep-learning, compare-vectors, encodings, artificial-intelligence, machine-learning

## Category neighbours (exploratory)

_Same-category tools for discovery only - not curated alternatives. Cap shown at six._

- [tensorflow](/tools/tensorflow-tensorflow.md) - An Open Source Machine Learning Framework for Everyone (★ 196,300) [Very active]
- [transformers](/tools/huggingface-transformers.md) - Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models (★ 162,482) [Very active]
- [generative-ai-for-beginners](/tools/microsoft-generative-ai-for-beginners.md) - 21 Lessons, Get Started Building with Generative AI (★ 112,866) [Very active]
- [pytorch](/tools/pytorch-pytorch.md) - Tensors and Dynamic neural networks in Python with strong GPU acceleration (★ 101,752) [Very active]
- [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) - Implement a ChatGPT-like LLM in PyTorch from scratch, step by step (★ 98,899) [Steady]
- [DeepSeek-R1](/tools/deepseek-ai-deepseek-r1.md) - Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses. (★ 91,991) [Dormant]

_+ 2 more not listed._

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/vector-ai-vectorai`](/api/graphcanon/tools/vector-ai-vectorai)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_