# LineagIQ

> Enterprise Semantic Knowledge Graph and Real-Time Serverless Lineage Intelligence Platform. Replaces dedicated graph database clusters (Neo4j, Amazon Neptune) with in-memory Compressed Sparse Row (CSR/CSC) linear algebra directly over open Delta Lake Parquet tables.

LineagIQ provides microsecond (< 25 µs) lineage reachability traversals, zero-copy point-in-time time-travel (T1 -> T2 graph diffing), domain-specific vector embeddings, and GraphRAG topological prompt synthesis for autonomous AI agents and enterprise data engineering teams.

## Documentation & Architecture Guides
- [Full Technical Architecture Manual](https://lineagiq.com/llms-full.txt): Complete deep dive into 3-tier lakehouse architecture, Delta Lake Parquet schemas, CSR/CSC traversal algorithms, and vector search.
- [Canonical Product Website](https://lineagiq.com/): Official overview covering the Slim Stack revolution, TCO comparison, interactive screenshots, and feature deep dives.
- [Time-Travel Lineage Diffing](https://lineagiq.com/#time-travel): Documentation on zero-copy ACID historical commit diffing and schema drift tracking.
- [Blast Radius & Impact Analysis](https://lineagiq.com/#blast-radius): Microsecond downstream reachability traversal across dbt models, tables, columns, and dashboards.
- [Universal Integrations](https://lineagiq.com/#integrations): Connectors for dbt Core/Cloud manifests, Snowflake, BigQuery, Databricks, PostgreSQL, and OpenLineage events.
- [Slim Stack Architecture](https://lineagiq.com/#slim-stack): Architectural breakdown of eliminating 24/7 provisioned JVM graph database clusters.
- [Frequently Asked Questions](https://lineagiq.com/#faq): Technical FAQ covering pure NumPy traversal, Delta Lake ACID protocols, and GraphRAG.

## Live Endpoints & API Reference
- [Interactive Visualizer UI](https://plane.lineagiq.com/): Live cloud demo of the interactive property graph visualizer and drawer exploration interface.
- [OpenAPI 3.0 Interactive Swagger Docs](https://plane.lineagiq.com/docs): Interactive API testing explorer for lineage traversals, blast radius, and vector discovery endpoints.
- [ReDoc Schema Explorer](https://plane.lineagiq.com/redoc): Comprehensive OpenAPI 3.0 reference documentation with complete request/response schemas.
- [OpenAPI JSON Specification](https://plane.lineagiq.com/openapi.json): Raw OpenAPI 3.0 JSON schema for automated tool ingestion and agent client generation.

## Agentic AI Tools & Integration
- [Agentic Browsing Hub](https://lineagiq.com/#agentic-browsing): Overview of autonomous AI agent capabilities, LLM scrapers, and prompt synthesis.
- [GitHub Repository & Source Code](https://github.com/timor-dataworks/LineagIQ): Open-source repository with Python SDK, collection agents, and FastAPI control plane.
- [Docker Compose Quickstart Configuration](https://raw.githubusercontent.com/timor-dataworks/LineagIQ/main/docker-compose.yml): Production Docker Compose manifest to run LineagIQ locally in 60 seconds.

## Optional
- [LineagIQ XML Sitemap](https://lineagiq.com/sitemap.xml): Machine-readable XML sitemap for search engine and agent indexing.
- [Robots Exclusion Directives](https://lineagiq.com/robots.txt): Crawler policies and bot permissions for AI indexing agents.