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Major upgrade: MyScale now features text search functionality!
Major upgrade: MyScale now features
text search functionality!
Learn More Now
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The SQL Vector
Database for Scalable AI

MYSCALE

Enable every developer to build production-grade GenAI applications with powerful and familiar SQL. Minimal Learning, Max Value, and Cost-Effective.

Trusted SQL/Integrated Vector Database

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Fully SQL-Compatible Vector Database

Perform fast, powerful, and efficient vector search, text search, filtered search, and SQL-vector join queries.

Vector search
Text search
Filtered search
Complex queries
Vector search
Text search
Filtered search
Complex queries

Enhanced RAG Effectiveness

  • Achieve superior RAG (Retrieval-Augmented Generation) results
  • Combine vector and full-text search for thorough data retrieval
  • Utilize advanced metadata filtering for precise outcomes
  • Adapt to changing business requirements with flexible data modeling

High-Performance and Cost-Efficient

  • 3x the speed, 3x the savings with MSTG vector engine
  • Performant & powerful metadata filter search
  • Faster data ingestion with optimized index building

SQL/Relational Vector Database

  • Manage and query AI-related data within a single system
  • Execute advanced SQL vector joint queries
  • Enable text-to-SQL translation for complex querying needs

Powerful Full-Text Search

  • BM25 for enhanced relevance ranking
  • Configurable tokenizers for various languages
  • Simple yet powerful query language

Integrates with Your AI Stack

  • Deep integration with popular development languages and frameworks
  • Seamless LLM application observability with MyScale Telemetry

Security and Compliance

  • SQL-based RBAC
  • In compliance with SOC 2
  • ISO 27001 Compliance

The Generative AI Stack

Build and deliver quickly with the best integrations and tools

Work seamlessly with tools and popular languages adopted by leading Generative AI enterprises and LLM developers

AI integrations
Language SDK
File formats
Functions

Build Your AI Apps with MyScale

RAG for Domain Knowledge Base
Recommendations
Chatbot
Image Search

FAQs

Your quick start guide to getting to know MyScale. We are here for you - reach out through the provided channels, and let's chat.

Contact Us
Email
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Medium
GitHub

Explore the latest updates in MyScale

Stay informed about the newest developments in MyScale by browsing through our recent articles.

A Deep Dive into SQL Vector Databases

SQL databases are adept at storing and managing structured data in a table-based structure, while vector databases excel in handling unstructured data. The fusion of these features is realized in SQL vector databases, enabling efficient storage and querying high-dimensional vectors using SQL.

Optimizing Filtered Vector Search in MyScale

Filtered vector search is becoming increasingly vital for intricate retrieval scenarios in which vectors usually come with metadata, and users often need to apply filters to this metadata. MyScale optimizes filtered vector search using the proprietary algorithm, MSTG, together with ClickHouse for fast filtering of structural data.

& MYSCALE

Building a RAG-Enabled ChatBot with MyScale

Large Language Models (LLM) can be more reliable in truthfulness powered by Retrieval Augmented Generation (RAG). MyScale provides an advanced usage to the RAG pipeline: Building a chatbot with MyScale as your only data source and doing all the data hosting jobs, from vector search to chat history management.

A Deep Dive into SQL Vector Databases

SQL databases are adept at storing and managing structured data in a table-based structure, while vector databases excel in handling unstructured data. The fusion of these features is realized in SQL vector databases, enabling efficient storage and querying high-dimensional vectors using SQL.

Optimizing Filtered Vector Search in MyScale

Filtered vector search is becoming increasingly vital for intricate retrieval scenarios in which vectors usually come with metadata, and users often need to apply filters to this metadata. MyScale optimizes filtered vector search using the proprietary algorithm, MSTG, together with ClickHouse for fast filtering of structural data.

& MYSCALE

Building a RAG-Enabled ChatBot with MyScale

Large Language Models (LLM) can be more reliable in truthfulness powered by Retrieval Augmented Generation (RAG). MyScale provides an advanced usage to the RAG pipeline: Building a chatbot with MyScale as your only data source and doing all the data hosting jobs, from vector search to chat history management.

A Deep Dive into SQL Vector Databases

SQL databases are adept at storing and managing structured data in a table-based structure, while vector databases excel in handling unstructured data. The fusion of these features is realized in SQL vector databases, enabling efficient storage and querying high-dimensional vectors using SQL.

Optimizing Filtered Vector Search in MyScale

Filtered vector search is becoming increasingly vital for intricate retrieval scenarios in which vectors usually come with metadata, and users often need to apply filters to this metadata. MyScale optimizes filtered vector search using the proprietary algorithm, MSTG, together with ClickHouse for fast filtering of structural data.

& MYSCALE

Building a RAG-Enabled ChatBot with MyScale

Large Language Models (LLM) can be more reliable in truthfulness powered by Retrieval Augmented Generation (RAG). MyScale provides an advanced usage to the RAG pipeline: Building a chatbot with MyScale as your only data source and doing all the data hosting jobs, from vector search to chat history management.