Mixedbread

Vector Stores Overview

Vector Stores are AI-powered search indexes that automatically understand any data format and provide AI systems with the right context at the right time. Upload PDFs, images, documents, or code - and instantly search through them with natural language.

No document parsing, no embedding models to manage, no vector databases to set up. Just upload your files and start searching.

How It Works

Upload any file format - PDFs, images, documents, code, videos. No preprocessing required.

Vector Stores automatically understand your content including text, images, tables, and complex layouts across 100+ languages.

Query your data using natural language. Find relevant content by meaning, not just keywords.

Receive precisely ranked results optimized for AI applications, reducing hallucinations and improving response accuracy.

Building AI applications that work with real-world data is complex. Developers typically struggle with:

  1. Multiple file formats - PDFs, images, documents, code all need different processing
  2. Document parsing complexity - OCR, layout understanding, chunking strategies
  3. Multilingual content - Supporting 100+ languages requires specialized models
  4. Search quality - Keyword search fails for semantic understanding
  5. AI integration - Getting the right context to LLMs for accurate responses

Each step requires expertise, infrastructure, and ongoing maintenance. Poor implementation leads to AI systems that hallucinate or miss critical information.

Vector Stores eliminate this complexity entirely.

Why Vector Stores Work Better

Understands Any Format
Upload PDFs, images, Word documents, PowerPoint, code files, or videos. Vector Stores automatically process and understand the content - including visual elements, tables, and complex layouts.

Multilingual by Default
Search across 100+ languages seamlessly. Query in English, find relevant content in German, Japanese, or any other language without translation layers.

AI-Native Search
Optimized for AI applications, not just human search. Provides precise, verifiable context that reduces hallucinations and improves AI response accuracy.

Zero Infrastructure
No servers to manage, no models to deploy, no databases to maintain. Scales automatically from prototype to enterprise production.

Key Capabilities

  • Multimodal Processing: PDFs, images, documents, audio, video, and code
  • Semantic Search: Natural language queries find relevant content by meaning
  • Advanced Reranking: Most relevant results automatically surface first
  • Metadata Filtering: Combine semantic search with precise filtering
  • Real-time Updates: Add, update, or remove content instantly
  • Enterprise Security: SOC 2 compliant with data residency controls

Get Started

Ready to build your AI Search Engine? Upload your first files and start searching in minutes.

Quickstart
Build your AI Search Engine in minutes. Create Vector Stores that understand any data format and provide precise context for your AI applications.
Vector Stores Quickstart
Get up and running with Vector Stores in minutes. Learn core features plus advanced capabilities like metadata, filtering, and configuration options.

Last updated: July 28, 2025