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    How It Works

    From raw files to searchable intelligence in three stages. Connect your data, extract structured features, and retrieve with multi-stage pipelines.

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    Connectors

    Plug into your data sources — CMS, cloud storage, ad platforms, and more.

    Feature Extractors

    Extract embeddings, entities, transcripts, scenes, and structured features.

    Retrievers

    Compose multi-stage search pipelines: search, filter, rerank, enrich.

    Recipes

    Production-ready workflows combining extractors and retrievers.

    Showcase

    Live demos on real data. Try before you build.

    Capability Spec Sheets

    45 technical specifications for evaluators and decision makers

    45 results
    Featured
    Data Extraction

    Buckets

    Schema-backed containers for organizing multimodal objects with automatic validation and lineage tracking

    Featured
    Feature Extraction

    Web Crawling & Extraction

    Recursively crawl websites and extract multimodal content with automatic embeddings for text, code, and images

    Featured
    Infrastructure

    Namespaces

    Isolated multi-tenant environments with dedicated vector storage, access controls, and complete data separation

    Featured
    Feature Extraction

    Video & Audio Embedding

    Extract visual frames and audio transcriptions from video with 1408D multimodal and 1024D text embeddings

    Featured
    Retrieval

    Feature Search

    Vector similarity search across embeddings with configurable distance metrics and filtering

    Featured
    Agent

    AI Copilot

    Interactive AI assistant with 60+ tools for data exploration, retriever building, and pipeline debugging

    Infrastructure

    Secrets Management

    Secure storage for API keys, credentials, and sensitive configuration with Fernet encryption and namespace isolation

    Infrastructure

    Event Webhooks

    Real-time event notifications for object ingestion, collection processing, clustering, and alert triggers with retry logic

    Storage

    Objects

    Multimodal data units with blob storage, schema validation, and lineage tracking for downstream processing

    Content Processing

    Batch Processing

    Multi-tier DAG processing that transforms bucket objects into searchable documents with feature extraction

    Feature Extraction

    Text Embedding

    Generate 1024-dimensional E5-Large embeddings from text content for semantic search

    Feature Extraction

    Image Embedding

    Generate 768-dimensional SigLIP embeddings from images for visual similarity search

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    What are Capabilities?

    Capabilities are buyer-grade specification sheets that combine technical architecture, evaluation criteria, and proof points. They're designed for technical buyers, evaluators, and security reviewers who need comprehensive information to make decisions.

    Technical Depth

    Each capability includes architecture diagrams, evaluation criteria, integration details, and comparison frameworks. No marketing fluff, just technical specs.

    Decision Support

    Understand what breaks without it, who feels the pain, and when to use alternatives. Capabilities help you make informed build-vs-buy decisions.

    Proof & Evidence

    Links to GitHub repos, demos, benchmarks, and videos. Everything you need to evaluate the capability with your own data.