Ambiakshi Technology - Autonomous Agents & Intelligence
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Air-Gapped Blueprints

Air-Gapped RAG & Document Intelligence Blueprints

Zero-data-leakage GraphRAG, hybrid semantic search, and private on-premise document intelligence — prototype builds, labeled by status.

Healthcare & Life SciencesPrototype — Synthetic Data

Air-Gapped Document Intelligence & GraphRAG Pipeline

Zero-data-leakage prototype combining dense vector search over sensitive documents, hybrid BM25 retrieval, knowledge-graph entity linking, and private domain SLM inference — applicable to healthcare, legal, and financial document sets.

99.2%
Retrieval Recall
< 160ms
Query Latency
Configurable to Client Compliance RequirementsSOC 2-Informed Logging & Access ControlsData Residency Controls
View Full Architectural Blueprint~82.6% Modeled TCO Savings
Hybrid Retrieval Architecture
↻ every answer cites back to a source documentSource DocumentsAny format, any verticalChunk & EmbedLocal embedding modelVector StoreQdrant · HNSW cosineKnowledge GraphNeo4j · entity graphDomain SLMReranked · 14B · vLLMGrounded AnswerInline citations

Illustrative architecture diagram — matches the prototype pipeline described, demonstrated on synthetic/generic data.

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