Guides

Relevance AI guides are written to help users get a feel for how to use Relevance AI. It is designed to teach Python developers, data scientists and machine learning engineers how best to unlock Relevance AI.

Start Here

• 🏃‍♀️ QuickStart
  • ✨ Example
    • 🔒 Data & Privacy
    • 🪄 Install RelevanceAI library and authenticate the client
    • 📩 Upload Some Data
  • 👨‍🔬 Vectorizing And Bringing AI In
    • 🤔 Choosing a Vectorizer
    • 🤩 Vectorize in one line
  • Search Application
  • ✨ Cluster
    • 🔗 The above step will produce a link to your first cluster app!
  • 🤔 Choosing the Number of Clusters
  • 🏷️ Add Labels To Your Dataset
  • 🌹 Extract Sentiment

Vectorize

• ⚡ How To Vectorize
  • Installation
    • Encoding an entire dataset

Cluster

• 👓 Cluster Analysis
  • Plotting Cluster Distributions
  • Clustering
  • Plot Basic Distributions
  • Plotting Custom Distributions - Variation
• 🤖 Basic Sub-clustering
  • 🚣 Inserting data
  • 🍒 Running the initial clustering approach:
  • 🫐 Running sub-clustering
  • 🧐 Looking into our subclusters
  • 🍇 You can then run sub-clustering again on a separate parent alias!
  • Next Steps
• ☀️ Cluster Centroid Heat Maps
  • Installation
  • Centroid Heatmap

Aggregation

• 🏘️ Aggregation QuickStart
• Installation
• Setup
• Data
• 1. Grouping the Data
  • Categorical Data
  • Numerical Data
  • Putting it Together
• 2. Creating Aggregation Metrics
  • Average, Minimum and Maximum
  • Sum
  • Putting it Together
• 3. Combining Grouping and Aggregating

Search

• 🔍 Advanced Search
  • 🚣 Inserting data
  • Simple Text Search
  • Simple Vector Search
  • Combining Text And Vector Search (Hybrid)
  • Adjust the weighting of your vector search results
  • Multi-Vector Search Across Multiple Fields
  • Chunk Search Guide
• 🌇 Text To Image Search QuickStart
• What I Need
  • Installation Requirements
  • Client Setup
• Text-to-image search
  • 1) Data
  • 2) Encode / Vectorize with CLIP
  • 3) Insert
  • 4) Search

Transformers Integration

• 🤗 Hugging Face Pipelines
• Set-up
• Installing Transformers
• Transformers Pipeline
• Running Transformers
• Viewing NER Results

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🏃‍♀️ Relevance AI for analyzing unstructured data