Quickstart

Documentation Index

Fetch the complete documentation index at: https://wildcampstudio.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

pip install delve-taxonomy

export ANTHROPIC_API_KEY="your-api-key-here"

delve run data.csv --text-column conversation

pip install delve-taxonomy

export ANTHROPIC_API_KEY="your-api-key-here"

from delve import Delve

# Initialize Delve client
delve = Delve(sample_size=100)

# Run taxonomy generation
result = delve.run_sync("data.csv", text_column="conversation")

# Access results
print(f"Generated {len(result.taxonomy)} categories")
for category in result.taxonomy:
    print(f"- {category.name}: {category.description}")

# Access taxonomy
for category in result.taxonomy:
    print(f"{category.name}: {category.description}")

# Access labeled documents
for doc in result.labeled_documents:
    print(f"{doc.id} → {doc.category}")

# Access metadata
print(f"Processed {result.metadata['total_documents']} documents")

# Get file paths
print(result.export_paths['taxonomy'])  # Path to taxonomy.json

​

Common Use Cases

​

Quick Alternative: Binary Detection

from delve import Delve

# Find all refund-related traces in seconds, not minutes
result = Delve.find_matches(
    "data.csv",
    category={
        "name": "Refund Request",
        "description": "User asking for refund or money back",
        "keywords": ["refund", "money back", "cancel"],
    },
    text_column="content",
)

print(f"Found {result.stats['matches']} matches")

​

What Happens During Processing?

1. Sampling - Delve samples your dataset (default: 100 documents)
2. Summarization - Each document is summarized using Claude Haiku
3. Clustering - Documents are grouped into minibatches and analyzed iteratively
4. Taxonomy Generation - Categories are discovered and refined across batches
5. Validation - The final taxonomy is reviewed for quality
6. Labeling - All documents are categorized with explanations
7. Export - Results are saved in multiple formats

​

Need Help?

• Check the CLI Reference for all command options
• See the SDK Reference for API details
• Browse Examples for common patterns
• Read the full Installation Guide for advanced setup