Oraculum Protocol Docs
  • Introduction to Oraculum
  • General
    • Vision & Philosophy
    • Key Features
      • 1. Natural Language Blockchain Interface
      • 2. Solana Native
      • 3. Wallet Intelligence Layer
      • 4. Real-Time Transaction Aggregation
      • 5. Conversational AI Layer
  • Architecture Overview
    • Core Components
    • AI Model Stack
    • Data Pipeline
  • Use Cases
    • Retail Traders
    • Institutional Analysts
    • Crypto Influencers & Communities
    • DeFi Protocols & DAOs
  • How It Works
  • Technical Overview
    • Ecosystem Integrations
    • Query Translation Engine
    • Custom Solana Indexer
    • AI Orchestration Layer
    • Oraculum API
  • End of the Docs
    • Glossary
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  1. Technical Overview

Query Translation Engine

At the core of Oraculum lies its proprietary Query Translation Engine, responsible for converting free-form natural language into structured, executable blockchain queries. It operates through a three-stage pipeline:

  • Semantic Deconstruction: It parses user input using transformer-based NLP to extract key entities such as wallet addresses, tokens, timeframes, and transaction types.

  • Schema Mapping: The interpreted query is mapped to a predefined query schema aligned with Oraculum's custom indexer (akin to GraphQL, but optimized for Solana data).

  • Probabilistic Routing: Based on historical usage data and confidence scores, the engine selects the most probable intent-resolution pathway.

This allows Oraculum to achieve both syntactic fidelity and semantic nuance — delivering technically accurate results in plain English.

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Last updated 4 days ago