HeyJaredAI Exploration Journey
A passionate AI researcher who enjoys delving into underlying principles and writing in-depth articles.
- Indexed issues, last 90 days
- 15
- Latest publication
- Sep 30, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 11, 2026
Latest issues
What Does an Ontology Actually Do in RAG (2) (opens the original)
Read excerpt
Continuing from the previous article, let's take a closer look at how ontologies can be integrated with RAG.We’ll focus on three key developments that have emerged in 2026.AI Exploration Journey is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.<input class="butto
What Does an Ontology Actually Do in RAG? (1) (opens the original)
Read excerpt
In my earlier article (Why Ontology Is Making a Comeback in the Age of LLMs — AI Innovations and Insights 150), I introduced the basic ideas behind ontology and discussed why it has been attracting more attention recently.This article focuses on how ontologies can be combined with RAG.AI Exploration Journey is a reader-supported publication. To receive new posts and support my work, consider becoming a fr
From Static Pipelines to Document Agents: How DocClaw Rethinks Document Processing (opens the original)
Read excerpt
Document AI has become remarkably capable, but the way we use it can still feel surprisingly fragmented. We have powerful systems for reading, searching, and extracting information, but they often live in separate workflows that know little about one another.AI Exploration Journey is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.<input class="email-input" name="email" t
What If RAG Didn’t Need an Index? (opens the original)
Read excerpt
Working with RAG often feels easy until the documents start changing faster than the retrieval pipeline can keep up. The more dynamic the data becomes, the harder it is to ignore that tension.AI Exploration Journey is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.<input class="button primary" type="sub
VecTree-RAG: Vector Search Finds the Paper, Tree Search Finds the Evidence (opens the original)
Read excerpt
If you’ve worked with RAG for a while, you’ve probably seen this happen: the system retrieves plenty of relevant text, yet somehow still misses the answer. Sometimes the problem isn’t finding information at all, but finding the right piece of information in the right context.AI Exploration Journey is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.<input
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
No verified audience measurement yet.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.