AI Architecture & Intelligence Pipelines | AIVON Technologies
Design intelligent systems around models, data and automated workflows
Semantic Intent
Hybrid Retrieval
Re-Ranking Model
Grounded Prompt
Hallucination Check
Captures user query with conversation context and user permission scopes.
Architecture Overview
Our AI architecture bridges non-deterministic foundation models with deterministic enterprise business rules using semantic chunking, dense vector retrieval, guardrail validation, and automated fallback routing.
System Layers & Separation of Concerns
Document & Data Extraction
Parses structured, semi-structured, and unstructured data into normalized semantic units.
Hybrid Vector Search
Combines dense embedding similarity with BM25 sparse keyword scoring for 100% recall.
Model Router & Guardrails
Routes prompts to specialized models with strict JSON schema and hallucination checks.
Implementation Approach
- Always pair vector similarity with sparse keyword search to avoid missing exact part numbers or acronyms.
- Implement strict JSON schema outputs using tools like instructor or OpenAI structured outputs.
- Monitor token costs and model latencies in real time using LangSmith / Helicone.
Grounded Intelligence
We architect AI systems that are reliable, predictable, and fully verifiable. Every response is backed by deterministic facts and traceable citations.
Recommended Stack
Scalability Standards
- Asynchronous ingestion workers decouple document uploads from query latency.
- Vector database partitioning by organization guarantees fast sub-50ms query times.
Security Benchmarks
- Tenant-isolated vector namespaces prevent cross-organization document leakage.
- Zero retention / zero training agreements ensure client data privacy.
Explore More Architectural Capabilities
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Resilient server-side services and high-throughput data processing
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High-throughput, secure, and standardized interfaces connecting digital ecosystems
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