The threshold for using 2 data is too high - Focus Search data search and analysis engine

Data Use Threshold is Too High

Data is an important asset for businesses, yet globally, the effective utilization of business data is still less than 10%.
In addition to solving performance problems in the utilization of massive data, it is more urgent to solve the problem of usability of data.

FS

The first commercially available Nature Language Query (NLQ) engine after tens of millions of searches.

WHAT PROBLEMS CAN Focus Search SOLVE?

Developers can integrate Focus Search's patented search technology into software to empower products

3 proprietary data search engine - Focus Search data search and analysis engine

Exclusive Data Search Engine

Integrate the Focus Search intelligent search engine into the software product, and quickly create the data visualization module of the software

3 proprietary data search engine - Focus Search data search and analysis engine

Enhance User Experience

Use the Focus Search patented technologies to light up your products, enhance software competitiveness, enhance user experience, and make products unique

3 proprietary data search engine - Focus Search data search and analysis engine

Maximize The Value And Minimize The Cost

Use Focus Search's search-based data analysis function to release customers' data value, meet customers' changing data display needs, and reduce secondary development costs

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FocusSearch VS Vanna.ai

FS focuses on structured data search and analysis and is good at complex data calculation logic

Featue

LLM frameworks such as Vanna

Focus Search

Generation Process
Black box, direct SQL generation
Transparent, two-step (keywords + SQL)
Hallucination Risk
High, depends on model quality
Low, controllable (keyword verification)
Speed
Slow, relies on large model inference
Fast, deterministic keyword-to-SQL
Cost
High, requires advanced models
Low, reduces reliance on large models
Non-Technical User Friendliness
Low, hard to verify results
High, easy keyword checking
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INTEGRATED VALUE

Integrate FS for search analytics capabilities

6 Integration Value - Focus Search Data Search Analysis Engine

In Terms of Reducing Repetitive Work, the FS Engine is Worth Thousands of Database Engineers.

FS empowers search-based analysis, enabling experienced business personnel to master data analysis skills without additional IT training, and enterprises do not need to set up an expensive team of database engineers or data analysts. Cost reduction and efficiency increase are tangible.

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INTEGRATED USE CASE

The Text-to-SQL parsing model, which has been tempered by tens of millions of searches, has completeness and good migration performance, and is suitable for most mainstream relational databases. The parsing results are accurate and reliable. The search parsing can achieve millisecond-level response and good usability.

8FS+MySQL——Focus Search data search and analysis engine

FS + MySQL

9FS+SQLserver——Focus Search data search and analysis engine

FS + SQLServer

10FS+Oracle——Focus Search data search and analysis engine

FS + Oracle

11FS+PGSQL——Focus Search data search and analysis engine

FS + PGSQL

12FS+Impala——Focus Search data search and analysis engine

FS + Impala

13FS+ClickHouse——Focus Search data search and analysis engine

FS + ClickHouse

14FS+Presto——Focus Search data search and analysis engine

FS + Presto

15FS+trino——Focus Search data search and analysis engine

FS + Trino

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