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INTRO TO RELEVANCE AI

  • What is Relevance AI?

AI Chains

  • Transformations
    • Generate text using LLMs
    • Execute Javascript code
    • Split text
    • Make API request
  • Guide: Building ChatGPT for your knowledge base
    • Scaffolding our frontend
    • Hold up! What are β€œchains”?
    • Setting up a dummy Q&A chain
    • OK, so how will our actual Q&A chain work?
    • Extracting your PDFs into Redis, with OpenAI embeddings
    • Setting up the frontend for our Q&A chain
    • Using chat history to power a conversation
    • Adding references, like Bing Chat
    • Adding some frontend sugar
    • Resources

TOP USE CASES

  • Use Cases
    • Integrate Your Knowledge-base into a Chatbot
    • Open-Ended Text Use Case
    • Audio Use Case
    • Image Use Case

YOUR MISSION

  • Find Insights: Cluster
    • How To Cluster Data In Relevance AI
    • How To Choose The Optimal Number Of Clusters
    • Explorer Dashboard
    • Label Clusters
    • Ask Relevance
    • Combine Clusters
    • Move Items To Different Clusters
    • Hide / Show Clusters
    • Export Clusters
    • How To Subcluster Data In Relevance AI
    • Tips To Improve Cluster Accuracy
    • Tips To Setup A Cluster Dashboard: Charts and Metrics
  • Find Insights: Tag
    • How To Tag Data In Relevance AI
    • How To Generate A Code Frame Automatically From The Data
    • How To Apply An Existing Code Frame
    • Editing and Updating Tags
    • Tips To Improve Tag Accuracy and Granularity
    • How to export tags
  • Find Insights: Sentiment
    • How To Run Sentiment Analysis In Relevance AI
    • How To Analyse Paragraphs vs Sentences
    • Sentiment scores and ranking
    • Sentiments FAQ

Your Processing Tools

  • All Workflows
    • What Are Workflows?
    • AI Text Clustering
    • AI Tagging
    • Enable Ask Relevance on Text or PDF
    • Interview AI
    • Extract Sentiment
    • Extract Emotion
    • Assign new documents to existing clusters
    • Add Tags To Existing Tags
    • Split To Sentences
    • Extract Text Count
    • Translate
    • Generate AI tags
    • Guided Tagging
    • Sub-Tagging
    • Guided Sub-Tagging
    • Rename/Combine Tags
    • Tag With Your Code Frames
    • Remove Tags
    • Transcribe Audio and Identify Speakers
    • Audio Premium
    • Vectorize
    • Reduce Dimension
    • Cluster
    • Subcluster
    • Cluster - Auto
    • Cluster - Hybrid
    • Cluster Text: One-to-Many
    • Extract Named Entities
    • Reformat Date Fields
    • Count Number of Days
    • Anonymize Text
    • American <-> British Spelling
    • Extract Nouns
    • Replace Phrase
    • Connect Media
    • Connect to AppStore
    • Connect To PlayStore
    • Copy Dataset
    • Export Tags
    • Export Dataset
    • Workflow and analysis FAQs
    • Label Topics in Focus-group Transcription
    • Document AI
  • Editor
    • What is Editor
    • Rule based editing
    • Refine category responses
    • Merge and rename categories
    • Add and Remove tags
    • Editor QA
  • Taxonomy Builder
    • Relevance AI Taxonomy Builder
    • Create / Use Taxonomy
    • AI - suggested tags
    • Tag suggestions based on clustering results
    • Tag suggested based on frequent words
    • User tags
    • Other taxonomies
  • Advanced filters
    • Advanced filters

CREATE DASHBOARDS

  • Create Insights
    • Create Dashboards: Explorer
    • Explorer: How To Create, Name, Save and Share Dashboards
    • Explorer: Category View
    • Explorer: Category view - page components
    • Explorer: How To Label Clusters
    • Explorer: How To Hide Categories
    • Explorer: Merge AI-Categories
    • Explorer: Move items between clusters
    • Explorer: Ask Relevance
    • Explorer: Subclustering
    • Explorer: Ask Relevance View
    • Explorer: Chart View
    • Explorer: Base Charts
    • Explorer: Word Cloud
    • Explorer: CrossTab charts
    • Explorer: Sentiment charts
    • Explorer: How To Search
    • Explorer: How To Filter
    • Explorer: How To Export to CSV
    • Explorer: Data Report
  • Share Insights
    • Share a dashboard
    • Share a dashboard FAQ

MANAGE DATA

  • Prepare Data
    • How to prepare text data for Relevance AI
    • How to prepare Audio, image, PDF data for Relevance AI
  • Import and Export Datasets
    • Upload a CSV File
    • Upload Media Files
    • Integrations
    • How to update an existing dataset
    • Export to a CSV File
  • Configure Dataset
    • View Data
    • Preferences

MANAGE ACCOUNTS

  • Administrator Guide
    • User Management
    • Invite New Users
  • Settings
    • Profile/Account Settings
    • Organization Settings
    • Project Settings
    • Change Password

FAQ

  • FAQ
    • Does my team need specific skills to upload data into Relevance AI?
    • Text Data Requirements
    • How do I manage text data quality?
    • What size data can Relevance AI handle?
    • What is the recommended minimum number of records?
    • Does Relevance AI provide a solution to scrape data?
    • Options to connect or upload data to Relevance AI
    • What Languages Does Relevance AI Support?
    • What types of data can Relevance AI process?
    • How long does it take to ingest data into Relevance AI
    • Project settings
    • How is accuracy measured in Relevance AI?
    • What Are Vector Fields?
    • How to cluster data in Relevance AI?
    • How to tag data in Relevance AI?
    • Does Relevance AI learn from what I do?
    • Does Relevance AI use ML or an engineered approach
    • How does Relevance AI deal with spelling, typos or slang (e.g. British vs US spelling / Neighbour vs Neighbor)?
    • Can the model be retrained to learn words, terms and jargon relevant to my industry?
    • What is the level at which text analysis is done?
    • Export or share results back into my existing data tools
    • Do I need to rerun the analysis every time I add a new data source?
    • Where does Relevance AI source training datasets?
    • How often are algorithms updated?
    • Create/invite a new user?
    • Where is Relevance AI and my data hosted?

Learn

  • New to vectors?
    • What are vectors
    • What are vector databases
    • Experimentation workflow
  • What is vector search?
  • What is clustering?
  • What is sentiment analysis?
  • What is emotion analysis?
  • Vectors for classification

Other

  • Data Privacy Policy

ASK RELEVANCE WIDGET

  • SDK: Methods
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What is the recommended minimum number of records?

Suggest Edits

What is the minimum number of records to get meaningful results?

The workflows you can use to generate results work with even a single sample, however, we recommend a minimum of 200 samples to generate an insightful output.

Updated 9 months ago


  • Table of Contents
    • What is the minimum number of records to get meaningful results?