☁️ Check out my new side project Grey Sky Project☀️
☁️ Check out my new side project Grey Sky Project☀️

Tech Trantor

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Month: May 2026

Building a Practical RAG Pipeline with LangChain

17 May, 2026 Daniel Teixeira 0

RAG is one of the best solutions since the proliferation of LLMs (The next one being Agents). Its simple, and yet very powerful. The basic […]

Chunking Strategies for Better RAG Retrieval With Qdrant

11 May, 2026 Daniel Teixeira 2

Lately I have been exploring RAG systems in more detail, and while creating some local RAGs for experimentaton several things become clear – one of […]

Exploring Qdrant Cloud and Vector Database

8 May, 2026 Daniel Teixeira 0

I recently came across Qdrant when doing some research in the RAG space, and decided to give it a try. Cloud trials, or docker images […]

AI Agents 101: Build an AI Agent with Ollama (llama3.1)

5 May, 2026 Daniel Teixeira 0

What is an AI agent? I find the below quote very self-explanatory. I don’t recall where I saw it, but it sums it up very […]

Trail Trantor
A short ride (doing some errands) during a snowy day in Amsterdam - not too slippery as it was fresh snow. This was in and around Rembrandt Park in the west of Amsterdan.

03:00 - Rembrandt Park
Snowy Amsterdam Bike Ride 4K ❄️ January 5, 2026
A nice Sunday ride from Bratislava into Hungary to a unpronounceable city. I was surprise that majority of the route was on a dedicated bike lane. Quite impressive.

00:15 Bratislava Castle View
00:30 Petržalka
01:18 Dike
03:05 SK/HU Border
03:25 Rajka
08:38 Mosonmagyaróvár
Bratislava (SK) to Mosonmagyaróvár (HU) - Bike Ride POV
A nice ride from Bratislava across the border with Austria to a small village called Hainburg an der Donau, including climbing to a small (but steep) hill with great views across the border.

00:00 - Bratislava Center
00:45 - UFO Bridge
02:15 - Border with Austria
03:05 - Wolfsthal
05:30 - Starting the climb to Braunsberg
07:40 - Braunsberg
10:45 - Hainburg an der Donau
Bratislava (SK) to Hainburg (AT) - Cross Border Bike Ride | 4K POV | GoPro Hero12
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Oracle Digital Assistant

Oracle Digital Assistant
Oracle Digital Assistant's integration of large language models enables you to enhance your skills with generative AI capabilities. Using the Invoke Large Language Model component (the LLM component), you can plug these capabilities into your dialog flow wherever they're needed.

Digital Assistant Resources:
⭐ ARTIE: https://bit.ly/ODADoc 
⭐ Website https://www.oracle.com/chatbots 
⭐ Tutorials: https://docs.oracle.com/en/cloud/paas/digital-assistant/tutorials.html
⭐ Documentation https://bit.ly/odadocumentation
ODA Quick Start: Large Language Model Component
Oracle Digital Assistant's integration of large language models enables you to enhance your skills with generative AI capabilities. Using the Invoke Large Language Model component (the LLM component), you can plug these capabilities into your dialog flow wherever they're needed.<br /><br />Digital Assistant Resources:<br />⭐ ARTIE: https://bit.ly/ODADoc <br />⭐ Website https://www.oracle.com/chatbots <br />⭐ Tutorials: https://docs.oracle.com/en/cloud/paas/digital-assistant/tutorials.html<br />⭐ Documentation https://bit.ly/odadocumentation
ODA Quick Start: Large Language Model Component
Digital Assistant Resources:
⭐ ARTIE: https://bit.ly/ODADoc 
⭐ Website https://www.oracle.com/chatbots 
⭐ Tutorials: https://docs.oracle.com/en/cloud/paas/digital-assistant/tutorials.html
⭐ Documentation https://bit.ly/odadocumentation
New! ODA 23.08 Supports Apple Messaging #shorts
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Recent Posts

  • Service Now KB Chatbot
  • Building a Practical RAG Pipeline with LangChain
  • Chunking Strategies for Better RAG Retrieval With Qdrant
  • Exploring Qdrant Cloud and Vector Database
  • AI Agents 101: Build an AI Agent with Ollama (llama3.1)

Recent Comments

  • Service Now KB Chatbot - Part 1 – Tech Trantor on Chunking Strategies for Better RAG Retrieval With Qdrant
  • Building a Practical RAG Pipeline with LangChain – Tech Trantor on Beyond Basic RAG: Advanced Retrieval Techniques for a Star Trek Knowledge Base
  • Building a Practical RAG Pipeline with LangChain – Tech Trantor on Chunking Strategies for Better RAG Retrieval With Qdrant

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