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v1.0.0Home Documentation 🐍 Python Reference 🔒 Data Privacy Policy

Getting Started

Introduction to Relevance AI
Installation
Authentication
Terminology
Relevance as a vector platform
- Experimentation first

General

Quickstart
- Quickstart - Analyze text
Creating a dataset
Retrieving data
Filters
Facets
Aggregations
- Supported groupbys
- Supported metrics
Apply a function
Parent-Child Relationships

Data Apps

Report app
Get started
- Managing app updates
- Notebook and script
Basic blocks
Chart blocks
Marks

Unstructured Data Analysis

Text
Image
Audio (Coming Soon)
Video (Coming Soon)
PDF & Documents (Coming Soon)

Vector Embeddings

Creating vectors
Clustering
Vector similarity search
Dimensionality reduction
Label

Theory and Concepts

What is vector search?
- How to vector search
- Applications of vectors
Vectors for classification

Other

Python SDK Reference
Data Privacy Policy

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Quickstart

Quickstarts provide a quick way to get started with Relevance AI for various use cases.

Updated 9 months ago