MyScale | Run Vector Search with SQL
MyScale | Run Vector Search with SQL 图标

MyScale | Run Vector Search with SQL

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Explore MyScale, the next-gen AI database fusing vector search with SQL analytics to deliver a streamlined, fully-managed, and high-performance experience. Unlock insights from massive multimodal vector datasets with unparalleled speed and efficiency.

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TheSQL Vector Database for Scalable AI

Start Free TrialTry Playground

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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29

34

57

8

61

Fully SQL-Compatible Vector Database

Fast and Powerful Queries

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

Vector search

Text search

Filtered search

Complex queries



-- Create MSTG index on vector column for arxiv_table
ALTER TABLE doc_table
ADD VECTOR INDEX vec_idx vector
TYPE MSTG('metric_type=Cosine');

-- Perform vector search and return top 10 results
SELECT
    id, title, text
    distance(vector, query_vector) as dist
FROM doc_table
ORDER BY
    dist ASC
LIMIT 10;

Manage All Types of Data

Data Import & Export

Integrate with Your Stack

Start Free TrialTry Playground

Vector search

Text search

Filtered search

Complex queries



-- Create MSTG index on vector column for arxiv_table
ALTER TABLE doc_table
ADD VECTOR INDEX vec_idx vector
TYPE MSTG('metric_type=Cosine');

-- Perform vector search and return top 10 results
SELECT
    id, title, text
    distance(vector, query_vector) as dist
FROM doc_table
ORDER BY
    dist ASC
LIMIT 10;

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

Integrations

AI integrations

Language SDK

File formats

Functions

Build Your AI Apps with MyScale

\
RAG for Domain Knowledge Base
\
Recommendations
\
Chatbot
\
Image Search

Why Industry Leaders Choose MyScale

MyScale's support for SQL is just amazing! It enables developers who are familiar with SQL but not vector search to quickly get
started. You won't have this kind of user experience in other products. Additionally, for production-level applications, MyScale
has significantly reduced our costs.

We have previously tried vector solutions like Pinecone, PgVector, Chroma, Zilliz, and Redis. We are very impressed by the
user-friendliness of MyScale and its seamless integration with Langchain.

MyScale's performance in memory resource optimization and data insertion efficiency far surpasses our previous solution.

The self-developed MSTG index by MyScale has helped us resolve many issues. Additionally, in the application of Text to SQL
integration, MyScale has demonstrated essential compatibility. We are truly grateful for the assistance and suggestions provided
by MyScale.

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.

What is the difference between MyScale and a specialized vector database?

What types of vector data does MyScale support?

What is the difference between traditional search and vector search?

Can I easily migrate from PostgreSQL to MyScale?

Is MyScale available as a managed database service?

How does MyScale perform?

Does MyScale have a RAG (Retrieval-Augmented Generation) solution? Where can I find a demo?

Contact Us Email Discord Twitter LinkedIn Medium GitHub

Explore the latest updates in MyScale

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

\
SQL Vector Databases are Shaping the New LLM and Big Data Paradigm
\
How to Build a RAG Chatbot with MyScale and Dify
\
MyScale vs. Pinecone: Who is the Best Choice for Large-Scale Data Management

Start building your AI projects with MyScale today

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