Content Clustering Pipeline
Automatically group similar content together using embedding-based clustering. Discover themes, identify duplicates, and organize large content libraries.
from mixpeek import Mixpeekclient = Mixpeek(api_key="YOUR_API_KEY")namespace = client.namespaces.create(name="clusters")collection = client.collections.create(namespace_id=namespace.id,name="articles",extractors=["text-embedding-v2"])# Upload contentclient.buckets.upload(collection_id=collection.id,url="s3://your-bucket/articles/")# Create clusterscluster_job = client.clusters.create(namespace_id=namespace.id,collection_ids=[collection.id],num_clusters=20,algorithm="kmeans")# Get cluster assignmentsclusters = client.clusters.list(namespace_id=namespace.id)for cluster in clusters:print(f"Cluster: {cluster.label} ({cluster.document_count} docs)")
Feature Extractors
Retriever Stages
Related Recipes & Resources
Explore these related resources to deepen your understanding and discover more powerful features
Multimodal RAG Pipeline
Build a retrieval-augmented generation system that works with text, images, and video. Feed relevant multimodal context to LLMs for grounded responses.
Taxonomy Enrichment Pipeline
Automatically classify and tag content using custom taxonomies. Map your content to IAB categories, custom hierarchies, or industry-specific classifications.
Metadata Enrichment Pipeline
Automatically enrich your data with extracted metadata: entities, topics, sentiment, language, and custom attributes. Transform raw content into structured, queryable data.
Multimodal Hybrid Search Pipeline
Combine vector search with keyword search (BM25) across text, images, and video for the most comprehensive multimodal retrieval system.
Clinical Documentation Structuring
Production-grade pipeline for ingesting clinical documents, scanned charts, EHR exports, wound photos, and therapy notes, and structuring them into coded fields aligned with MDS 3.0, PDPM, and CMS audit requirements. Combines OCR, clinical NER, taxonomy classification, and hybrid retrieval to turn unstructured bedside documentation into queryable, auditable data.
Multimodal Content Moderation
Automated content moderation pipeline that analyzes text, images, and video for policy violations. Uses hierarchical taxonomy classification to label content as safe, sensitive, or prohibited across multiple categories simultaneously.