AI Knowledge Engine

Document Distillation + Self-Learning Profiles

An AI system that ingests large document corpora, distills them into searchable structured knowledge, builds rich profiles that evolve from every interaction, and delivers real-time contextual guidance grounded in source material.

Three Layers
Not just RAG. A complete intelligence architecture.
Pure vector search retrieves text. This system understands context, learns continuously, and grounds every recommendation in verified source material.

Layer 1: Distillation

176+ source documents normalized, indexed, and distilled into curated topic files. Hybrid retrieval that's faster and more reliable than RAG alone.

Layer 2: Profiles

Self-learning profiles built from interaction data. Cross-platform identity resolution. Personality, communication style, and mood tracking that evolves with every conversation.

Layer 3: Guidance

Real-time contextual recommendations grounded in source material. Situation detection selects the right knowledge automatically. Every suggestion is traceable.

Document Distillation
From chaos to structured, searchable knowledge
  • Format-agnostic ingestion. PDFs, DOCX, HTML, and plain text normalized to a single format via an automated conversion pipeline.
  • Semantic indexing. Full corpus indexed via Onyx for vector search across all source material.
  • Curated topic files. Source documents distilled into structured, actionable knowledge organized by use case. Human-validated for accuracy. This is the "curated RAG" layer, faster and more reliable than pure vector search for common scenarios.
  • Two-tier retrieval. Distilled files handle the common path instantly. Full semantic search handles long-tail queries. Best of both worlds.
Self-Learning Profiles
Profiles that get smarter with every interaction

User Memory

Every interaction is mined for personal facts in the background. Deduplicated, categorized, and synthesized into a living bio. The system always knows who it's talking to.

Entity Profiles

Rich profiles built from platform data, conversation analysis, and extracted facts. Personality, communication style, triggers, and mood, all AI-derived and continuously updated.

Identity Resolution

Cross-platform entity linking with merge/split capabilities. The same person across multiple channels is recognized as one entity with a unified profile.

Incremental Analysis

Only new interactions are processed. Insights (ephemeral) are re-derived each analysis. Facts (persistent) are additive and never lost. Scales to long-running relationships.

Contextual Guidance
The right knowledge, at the right moment
  • Situation detection. A keyword classifier scans each query and selects up to 3 relevant knowledge files. Deterministic and fast, with no AI call required for routing.
  • Dynamic prompt assembly. System prompts are built from 5 sources: persona, selected knowledge files, semantic search results, user profile, and entity context.
  • Event-driven suggestions. A background pipeline continuously monitors conversations, detects stage changes, and pre-computes contextual suggestions delivered via WebSocket in real time.
  • Source grounding. Every recommendation traces back to specific source material. No hallucinated advice. No generic platitudes.
Infrastructure
Production-grade on a single node
~4,000 lines of code. SQLite with WAL mode. Four concurrent AI worker pools with per-request cost tracking. WebSocket real-time delivery. Multi-platform data connectors with automatic reconnection. Translation layer for multilingual conversations. The entire system runs on a single machine.
Applications
This architecture generalizes to any domain

Compliance & Legal

Distill regulatory documents into searchable knowledge with source-grounded guidance for your team.

CRM Intelligence

Build evolving profiles from unstructured interaction data. Cross-channel identity resolution for unified customer views.

Technical Support

Turn product documentation into a contextual guidance engine that selects the right knowledge per situation.

Training & Onboarding

Distill institutional knowledge and deliver contextual guidance that adapts to each learner's profile.

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