Chia Jeng Yang – Medium

Chia Jeng Yang

Published in
WhyHow.AI

Open-Sourcing the WhyHow Knowledge Graph Studio, powered by NoSQL

WhyHow’s Knowledge Graph Studio for modular agentic RAG systems.

1d ago

Open-Sourcing the WhyHow Knowledge Graph Studio, powered by NoSQL

1d ago

Published in
WhyHow.AI

Case Study: Turning Doctor Transcripts into Temporal Medical Record Knowledge Graphs

Showcase of Data Transformation Process, Breakdown of 25 dev hours involved, Schemas used, Questions & Responses, and Graph created

Nov 10

Case Study: Turning Doctor Transcripts into Temporal Medical Record Knowledge Graphs

Nov 10

Published in
WhyHow.AI

Leveraging Knowledge Table for CSV Medical Data Cleaning

Data Cleaning of Tabular data through Knowledge Table, both as a Developer or as a Business User

Nov 7

Leveraging Knowledge Table for CSV Medical Data Cleaning

Nov 7

Published in
WhyHow.AI

Rules, Extraction Guardrails, Knowledge Table & Studio

Knowledge Table Update: The 3 types of Guardrails & Rules for Automated & Human-In-The-Loop Extraction & Graph Creation

Nov 4

Rules, Extraction Guardrails, Knowledge Table & Studio

Nov 4

Published in
WhyHow.AI

Knowledge Table Making Extraction Cool Again (with Rules)

Extraction Rules Dashboard, Data Processing of imported cells & UI Updates

Oct 29

Knowledge Table Making Extraction Cool Again (with Rules)

Oct 29

Published in
WhyHow.AI

Knowledge Table — Intelligent Chained Extraction through ‘Split Cell into Rows’

Making Semantically Aware Extraction and Graph Creation work well through Knowledge Table

Oct 19

Knowledge Table — Intelligent Chained Extraction through ‘Split Cell into Rows’

Oct 19

Published in
WhyHow.AI

File Directory for large document RAG systems

Document Metadata Generation, File Directory & Two-Step Information Retrieval Processes

Oct 15

File Directory for large document RAG systems

Oct 15

Published in
WhyHow.AI

Knowledge Table — Multi-Document RAG (Extraction & Memory)

An Open-Source tool for Tabular & Rule-Based Extraction for Graph Memory & Ontology-Based Querying

Oct 7

Knowledge Table — Multi-Document RAG (Extraction & Memory)

Oct 7

Published in
WhyHow.AI

Dynamic Expert Feedback: KG RAG as a Two-Way Retrieval & Memory System vs One-Way Vector System

How up-to-date dynamic context requires feedback and schemas that allow structured communication between humans and LLMs.

Sep 19

Dynamic Expert Feedback: KG RAG as a Two-Way Retrieval & Memory System vs One-Way Vector System

Sep 19

Published in
WhyHow.AI

WhyHow.AI’s talk at the 3rd Annual Industrial AI Conference ‘24

Tom Smoker, Co-Founder at WhyHow.AI, spoke in September 2024 at the 3rd Annual Industrial AI Conference about Multi-Agent Knowledge Graph…

Sep 12

WhyHow.AI’s talk at the 3rd Annual Industrial AI Conference ‘24

Sep 12

Chia Jeng Yang

Chia Jeng Yang

Co-Founder of WhyHow.AI

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