GraphRAG & Knowledge Studio.
Autonomous Agent Intelligence.
Meet iHailey Version 2.5 — an autonomous AI operating system engineered by Chancellor Minus. Powered by 5-layer GraphRAG, Knowledge Studio document parsing, audio overviews, code notebooks, and 15 domain AI agents.
GraphRAG Enterprise Knowledge Base
Replacing traditional vector-only RAG with a 5-layer hybrid retrieval network that traverses entity relationships, vector embeddings, metadata, and long-term memory.
Multi-Hop Graph Traversal
Performs multi-step BFS/DFS relationship traversals across entity nodes (Person, Company, ResearchPaper, Technology) to discover hidden connections across documents.
5-Layer Hybrid Retrieval
Combines Graph Traversals, Pinecone 1536-dim Vector Search, Firestore Metadata Filtering, 4-Tier Memory, and Reciprocal Rank Fusion (RRF) context compression.
Interactive Graph Canvas
Visual node-edge canvas allowing users to interactively explore, expand, collapse, and traverse entity relationships with a single click.
Proactive Recommendations
Scans knowledge graph gaps to proactively suggest connected research papers, missing citations, relevant domain experts, and project collaborations.
Canonical Entity Network
Automatic entity resolution and canonicalization, standardizing concept names across all uploaded sources into an enterprise knowledge repository.
Sub-Second Graph Cache
Backed by Redis Cloud for sub-millisecond graph traversal caching (graph_traverse), ensuring instant multi-hop query responses.
Knowledge Studio Workspace
Transform documents, websites, YouTube videos, and audio files into connected AI podcasts, sandboxed code notebooks, concept mind maps, and slide decks.
Universal Source Ingestion
Ingest PDF, Word, Excel, PowerPoint, CSV, JSON, Markdown, TXT, web articles, YouTube video transcripts, and audio recordings via OpenAI Whisper transcription.
Two-Host AI Audio Overviews
Generate engaging podcast-style discussions between two AI hosts analyzing your uploaded documents. Powered by OpenAI Text-to-Speech (tts-1) with beginner, academic, and executive briefing modes.
Sandboxed Code Notebooks
Execute Python & SQL code for data analysis, statistical modeling, and financial calculations. Generates interactive charts, tables, and visualization outputs directly from document data.
Visual Generator & Study Tools
Automatically generate interactive concept mind maps, 10-slide presentation decks with speaker notes, study guides, flashcards, and quizzes from your uploaded knowledge sources.
Designed & Developed by Chancellor Minus
iHailey was created by Chancellor Minus, Founder and CEO of ChanceTEK LLC and iSynera LLC, as an enterprise-grade agentic operating system.
Thirteen Specialized Autonomous Agents
Every prompt is analyzed by the Supervisor Router and assigned to dedicated reasoning nodes engineered for deep domain expertise.
Four-Tier Persistent Memory Stack
iHailey maintains persistent context across sessions, remembering your writing preferences, project goals, and technical stacks.
Tier 1: Working Memory
Graph StateActive task execution state, messages, citations, and intermediate reasoning steps stored directly within the LangGraph state annotation.
Tier 2: Redis High-Speed Cache
Microsecond CacheIn-memory Redis cache for instant retrieval of frequent facts, active user profiles, and recurring session queries.
Tier 3: Firestore Memory Store
Persistent DatabaseDocument store retaining extracted facts, entity profiles, project milestones, and structured conversation history.
Tier 4: Pinecone Vector Memory
Vector IndexHigh-dimensional vector embeddings (1536 dim) in Pinecone enabling deep semantic similarity search and conceptual recall across past sessions.
Autonomous Quality Assurance
Every output is audited by our Reflection Agent for logic gaps and clarity, then fact-checked by our Verification Agent before delivery.