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Getting Started
Introduction to Relevance AI
Installation
Authentication
Terminology
Relevance as a vector platform
Experimentation first
General
Quickstart
Quickstart - Analyze text
Creating a dataset
Inserting data
Dataset schema
Inserting files / media
Delete data
Copying and cloning dataset
List datasets
Chunks (Beta)
Retrieving data
Filters
Advanced filters
Combine filters
Supported filters
Supported text 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
Dataset connected charts
Altair charts
Matplotlib charts
Plotly charts
Marks
Unstructured Data Analysis
Text
Stopwords
Emotion analysis
Sentiment analysis
Huggingface - NER, Summarize, and more
Text vectors
Translation
Tag With Nouns
Image
Emotion Analysis (coming soon)
Color Analysis (coming soon)
Image vectors
Audio (Coming Soon)
Video (Coming Soon)
PDF & Documents (Coming Soon)
Vector Embeddings
Creating vectors
Text vector embeddings
Image vector embeddings
List all vector fields
Extracting Vectors from Pretrained Pytorch Models
Clustering
Clustering
Closest to centroids
Cluster aggregate
Categories to clusters
Fast clustering
Label new documents with clusters
View Cluster Labels And Descriptions
Vector similarity search
Vector search
Searching with multiple vectors
Traditional text search
Approximate nearest neighbors search
Vector search on chunks (Beta)
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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Updated 9 months ago
