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Echo Natural Language Data Query System

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Zipper closure 1/4 zip athletic pullovers for men. Stretchy, lightweight, fast-drying fabric for superior performance. REGULAR FIT - US standard sizes. An athletic fit that sits close to the body for a wide range of motion, designed for optimal performance and all day comfort. FEATURES - Quarter zip closure;Thumbholes on long sleeves to keep them in place during workout

Addressing Key User Pain Points

① Lack of SQL Skills, Difficulty Querying Data:
Most business users lack SQL proficiency. Faced with complex field names and table relationships, they struggle to initiate queries.
② IT Resource Bottlenecks:
Slow Response and Low Efficiency IT teams waste significant time handling ad-hoc queries and repetitive requests,trapped in an "inefficient cycle" of data servicing.
③ Fragmented Data, Complex Integration:
Traditional tools often fail to integrate cross-database data, leaving cross-system business questions unanswered.
④ High Barriers to Historical Training Data:
Most Tex t2SQL solu tions require extensive training with question-answer pairs, leading to long deployment cycles and high costs.

Bridging the "Question → Result" Pipeline with Intelligence

Echo combines localized knowledge understanding with the reasoning power of LLMs to simplify data querying through natural language interactions:
① Comprehensive Multi-Source Support Echo supports mainstream databases (Oracle, SQL Server, MySQL, DB2, DMDB, Kingbase, openGauss) and flat files (Excel, CSV), enabling natural language queries across heterogeneous data sources.
② Cross-Database Query Capability Echo answers complex questions spanning multiple databases with a single natural language query, breaking down system silos for unified analysis.
③ Natural Language → Instant Results Echo translates natural language to SQL for user review or directly returns query results.

④ MPP-Driven Efficiency A dedicated MPP (Massively Parallel Processing) engine offloads source databases, accelerating query performance.

⑤ GPU-Free Architecture CPU-based parallel computing eliminates GPU dependency, reducing deployment costs while enabling fast local knowledge base construction.

⑥ Rapid Deployment, No Training Required Echo adap ts to en te rp rise scenarios without historical Q&A data ready to use immediately.

⑦ Ambiguous Query Handling with Multi-Path Prediction Even vague user questions trigger semantic analysis, generating multiple suggestions to

pinpoint relevant data.

Unleashing Data Value

① Free Up IT Resources Echo automates ad-hoc query tasks, transforming IT teams from "data executors" to "data stewards."
② Empower Business Users with Self-Service Analytics Echo empowers non-technical users independently access critical business data,in depth analysis of the query data, accelerating decision-making and agility.
③ Boost Data Utilization Efficiency Echo shifts from "waiting for support" to "self-driven queries," maximizing data usage and value realization.
④ Enhance Data Security and Control Echo enhances data security and control through full audibility, access controls, and permission-based responses, ensuring compliance with least-privilege principles.

In the data-driven era, fast, accurate, and flexible data query capabilities are central to gaining a competitive advantage. Echo redefines data interaction with its technical strengths, flexible deployment, and user centric design. Whether empowering business experts to derive insights or relieving SQL burdens for IT teams, Echo delivers an optimal solution.