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CodableAI Your Ultimate Vector Database Platform

CodableAI
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Home: https://codableai.com

  • #vector database
  • #embedding generation
  • #FAISS
  • #Real-time search
  • #data management
  • #text processing

What is CodableAI?

CodableAI is a cutting-edge vector database platform that empowers businesses with advanced AI-driven data solutions. The platform excels in creating, managing, and scaling vector databases for applications in document search, chat analysis, and AI model integration, offering sub-50ms search response times and the ability to process up to 80,000 tokens per file.

Built on FAISS technology, CodableAI provides a robust infrastructure for high-performance vector processing and real-time search capabilities. The platform supports enterprise-level applications with its ability to handle up to 50 million vectors while maintaining optimal performance and accuracy, making it an ideal solution for businesses seeking to leverage AI-powered data management.

Features

  • Token Processing: Handle up to 80K tokens per file with 1.5 seconds processing time per 10,000 tokens
  • Search Performance: Sub-50ms response times for queries across 10 million vectors
  • Unified API Integration: Single API call for handling multiple data types
  • Scalability: Support for up to 50 million vectors
  • Real-time Search: Instant availability of newly embedded vectors
  • FAISS Integration: Optimized search performance using Facebook AI Similarity Search

Use Cases

  • Document search and retrieval
  • Chat analysis and processing
  • AI model integration
  • Large-scale data operations
  • Real-time data insights
  • Enterprise-level vector database management

FAQs

  • What is the maximum token processing capacity per file?
    CodableAI can process up to 80,000 tokens per file, which is approximately equivalent to 240 pages.
  • How fast are the search response times?
    CodableAI provides sub-50ms response times for search queries, even in databases containing up to 10 million vectors.
  • What is the maximum vector capacity of the platform?
    The platform can seamlessly scale to handle up to 50 million vectors without compromising performance, speed, or accuracy.

Related Queries

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