Mixedbread

Vector Search

Vector search powers AI-native search engines that understand meaning, not just keywords. When you search for "comfortable running shoes," traditional search looks for those exact words. Vector search understands the concept of comfort in footwear and finds relevant products even if they're described as "cushioned athletic sneakers" or "supportive jogging footwear."

This works by converting your content—text, images, code, or documents—into mathematical representations called embeddings that capture semantic meaning. Mixedbread's multimodal models create these embeddings automatically, making any data type searchable through natural language.

Lightning-Fast Search at Scale

Behind the scenes, vector search uses sophisticated algorithms to deliver instant results even across massive datasets. Here's why it just works:

  • Instant Results: Advanced indexing finds relevant content in milliseconds, even across millions of documents.
  • Massive Scale: Efficiently search through billions of data points without compromising speed.
  • Smart Optimization: Automatically balances speed and accuracy to deliver the most relevant results for your use case.

You don't need to worry about the technical complexity—Mixedbread handles all the optimization automatically.

Quality That Scales

Great search experiences require both relevant results and fast performance. Vector search delivers on both:

  • Relevance: Advanced similarity matching ensures you find what you're actually looking for, not just keyword matches.
  • Speed: Sub-second response times maintain smooth user experiences even with complex queries.
  • Consistency: Reliable performance whether searching through hundreds or millions of items.
  • Adaptability: Search quality improves as you add more content and user feedback.

Mixedbread continuously optimizes these factors so your search experience gets better over time.

Hybrid Search: The Best of Both Worlds

Sometimes you need exact matches (like product codes), other times you need conceptual understanding (like finding "budget-friendly laptops"). Hybrid search combines both approaches automatically:

  • Precise Matching: Perfect for SKUs, model numbers, technical specifications, or exact phrases.
  • Contextual Understanding: Handles natural language, synonyms, and conceptual queries with ease.
  • Smart Combination: Automatically balances exact and semantic matching based on your query type.

Whether someone searches for "MacBook Pro 14-inch" or "powerful laptop for video editing," hybrid search delivers the right results.

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Last updated: June 17, 2025