Messy Problems

WhyHow.AI Platform Beta Update — SDK for programmatic flows

WhyHow.AI is a modular platform that works seamlessly with your existing pipelines, and be useful for devs and non-technical experts

Aug 10, 2024 • 

Chia Jeng Yang

1

Multiplayer Knowledge Graph Creation, Expert-Led Human Labeling & Neuro-symbolic AI

How Multiplayer Knowledge Graph Creation is helping to turn Domain Expertise Knowledge into Machine-Readable Data

Aug 4, 2024 • 

Chia Jeng Yang

1

July 2024

5 Misconceptions of KG & RAG Systems - Building & Using RAG-Native Graphs

RAG-Native Graph Creation have differences from traditional graph creation, covering the realities of the role of network-type data, multi-hop retrieval…

Jul 22, 2024 • 

Chia Jeng Yang

May 2024

Tables/CSVs to Graphs: WhyHow.AI SDK

With this update, you can now create graphs in 3 different ways, depending on how exploratory or pre-defined you want your schema to be.

May 23, 2024 • 

Chia Jeng Yang

1

Understanding the type of Knowledge Graph you need - Fixed vs Dynamic Schema/Data

Fixed vs dynamic data and schemas result in different types of knowledge graphs that you may need.

May 21, 2024 • 

Chia Jeng Yang

1

April 2024

Introducing Schema Controlled Automated Knowledge Graphs

Through our "Understand" Knowledge Graph SDK, we are building tools to help you structure your data with your opinion.

Apr 21, 2024 • 

Chia Jeng Yang

1

WhyHow.AI's Knowledge Graph Creation SDK - "Understand"

Using your sample questions as the basis for Knowledge Graph creation, simplifying the creation of structured and deterministic knowledge…

Apr 1, 2024 • 

Chia Jeng Yang

March 2024

Deterministic Document Structure based Retrieval

Capturing document structures for deterministic rule-based RAG traversals as the next step for semantic information extraction.

Mar 24, 2024 • 

Chia Jeng Yang

3

Open-Sourcing Deterministic Rule-based Retrieval for RAG

WhyHow.AI builds developer tools to bring more accuracy and determinism to AI solutions, including graph technologies.

Mar 19, 2024 • 

Chia Jeng Yang

1

Improving LLMs: ETL to "ECL" (Extract-Contextualize-Load)

As LLMs turn turn data processing into semantic processing, we believe ETL processes will turn into ECL processes, and that a range of tooling will…

Mar 16, 2024 • 

Chia Jeng Yang

2

RAG: Graph Retrieval vs Graph Reasoning

Building Knowledge Graphs in RAG is not just about using graphs as data stores, but also as a means for structured reasoning. We discuss when to rely…

Mar 11, 2024 • 

Chia Jeng Yang

3

January 2024

Advanced RAG and the 3 types of Recursive Retrieval

We explore the multiple types of iterative and recursive retrieval - categorizing Page-Based, Information-Centric, and Concept-Centric iterative…

Jan 31, 2024 • 

Chia Jeng Yang

3