Johannes Rabauer
@rabauer.bsky.social
☕ Java coder @xdev.software | 🤖 AI wrangler | 🎤 Conference speaker | 🎮 Full-time dad, part-time gamer
🎥 Watch the replay → youtube.com/live/cY2anCL...
📦 Code → github.com/JohannesRaba...
#AI #LangChain4j #Quarkus #Ollama #pgvector #LocalAI #LiveCoding
📦 Code → github.com/JohannesRaba...
#AI #LangChain4j #Quarkus #Ollama #pgvector #LocalAI #LiveCoding
Quanta Live: Building Local AI Search with pgvector & LangChain4j - Part 2
Building Quanta (Part 2) – Vector Search with Quarkus, pgvector & OllamaIn this session, we’re diving deep into the brains of Quanta — the part that makes it...
youtube.com
November 3, 2025 at 9:15 AM
🎥 Watch the replay → youtube.com/live/cY2anCL...
📦 Code → github.com/JohannesRaba...
#AI #LangChain4j #Quarkus #Ollama #pgvector #LocalAI #LiveCoding
📦 Code → github.com/JohannesRaba...
#AI #LangChain4j #Quarkus #Ollama #pgvector #LocalAI #LiveCoding
No cloud, no GPUs, no expensive APIs.
Just open-source tools working together to make local AI useful and fun.
I am still adding a few finishing touches, but the core search flow is already complete.
Just open-source tools working together to make local AI useful and fun.
I am still adding a few finishing touches, but the core search flow is already complete.
Quanta Live: Building Local AI Search with pgvector & LangChain4j - Part 2
Building Quanta (Part 2) – Vector Search with Quarkus, pgvector & OllamaIn this session, we’re diving deep into the brains of Quanta — the part that makes it...
youtube.com
November 3, 2025 at 9:15 AM
No cloud, no GPUs, no expensive APIs.
Just open-source tools working together to make local AI useful and fun.
I am still adding a few finishing touches, but the core search flow is already complete.
Just open-source tools working together to make local AI useful and fun.
I am still adding a few finishing touches, but the core search flow is already complete.
In this session we:
🧩 Extracted text with Apache Tika
🧠 Created embeddings using Ollama (LLaMA 3.2)
💾 Stored them in PostgreSQL with pgvector
🔍 Queried files semantically with Quarkus and LangChain4j
And it works beautifully.
🧩 Extracted text with Apache Tika
🧠 Created embeddings using Ollama (LLaMA 3.2)
💾 Stored them in PostgreSQL with pgvector
🔍 Queried files semantically with Quarkus and LangChain4j
And it works beautifully.
November 3, 2025 at 9:15 AM
In this session we:
🧩 Extracted text with Apache Tika
🧠 Created embeddings using Ollama (LLaMA 3.2)
💾 Stored them in PostgreSQL with pgvector
🔍 Queried files semantically with Quarkus and LangChain4j
And it works beautifully.
🧩 Extracted text with Apache Tika
🧠 Created embeddings using Ollama (LLaMA 3.2)
💾 Stored them in PostgreSQL with pgvector
🔍 Queried files semantically with Quarkus and LangChain4j
And it works beautifully.
Thanks very much, Catherine!
It will be a lot of fun, no matter the outcome 🤦🏻♂️🤓
It will be a lot of fun, no matter the outcome 🤦🏻♂️🤓
October 29, 2025 at 8:22 PM
Thanks very much, Catherine!
It will be a lot of fun, no matter the outcome 🤦🏻♂️🤓
It will be a lot of fun, no matter the outcome 🤦🏻♂️🤓
Is there a place with "best-practice-guardrails" or something similar? It seems like an awful chore to think of every possible unwanted in- and output and put that into code...
October 13, 2025 at 7:14 PM
Is there a place with "best-practice-guardrails" or something similar? It seems like an awful chore to think of every possible unwanted in- and output and put that into code...
It looks like you changed passwords since the leak: I tried to login to localhost:8080 with password "pw", but access was denied 😂
Good for you! :)
Good for you! :)
October 10, 2025 at 8:57 AM
It looks like you changed passwords since the leak: I tried to login to localhost:8080 with password "pw", but access was denied 😂
Good for you! :)
Good for you! :)
🧠 Open-source & still evolving:
github.com/JohannesRaba...
What would you add next, smarter summaries, multi-agent explorers, or something wild?
#LangChain4j #Quarkus #Ollama #pgvector #ApacheTika #AI #Java #LLaMA3
github.com/JohannesRaba...
What would you add next, smarter summaries, multi-agent explorers, or something wild?
#LangChain4j #Quarkus #Ollama #pgvector #ApacheTika #AI #Java #LLaMA3
GitHub - JohannesRabauer/quanta: ai-file-search - lets you find files in a natural language way and summarizes files
ai-file-search - lets you find files in a natural language way and summarizes files - JohannesRabauer/quanta
github.com
October 7, 2025 at 1:31 PM
🧠 Open-source & still evolving:
github.com/JohannesRaba...
What would you add next, smarter summaries, multi-agent explorers, or something wild?
#LangChain4j #Quarkus #Ollama #pgvector #ApacheTika #AI #Java #LLaMA3
github.com/JohannesRaba...
What would you add next, smarter summaries, multi-agent explorers, or something wild?
#LangChain4j #Quarkus #Ollama #pgvector #ApacheTika #AI #Java #LLaMA3
Quanta tracks file changes, re-vectorizes updates, and returns instant, intelligent answers; all locally.
We debugged Quarkus quirks, Tika headaches, and got Ollama humming 💪
youtube.com/live/OenMqG5...
We debugged Quarkus quirks, Tika headaches, and got Ollama humming 💪
youtube.com/live/OenMqG5...
youtube.com
October 7, 2025 at 1:31 PM
Quanta tracks file changes, re-vectorizes updates, and returns instant, intelligent answers; all locally.
We debugged Quarkus quirks, Tika headaches, and got Ollama humming 💪
youtube.com/live/OenMqG5...
We debugged Quarkus quirks, Tika headaches, and got Ollama humming 💪
youtube.com/live/OenMqG5...
Under the hood:
⚡ Next.js (frontend)
☕ Quarkus + LangChain4j (backend brains)
🦙 Ollama (LLaMA 3.2 embeddings)
🐘 PostgreSQL + pgvector
📄 Apache Tika for text extraction from any file type
⚡ Next.js (frontend)
☕ Quarkus + LangChain4j (backend brains)
🦙 Ollama (LLaMA 3.2 embeddings)
🐘 PostgreSQL + pgvector
📄 Apache Tika for text extraction from any file type
October 7, 2025 at 1:31 PM
Under the hood:
⚡ Next.js (frontend)
☕ Quarkus + LangChain4j (backend brains)
🦙 Ollama (LLaMA 3.2 embeddings)
🐘 PostgreSQL + pgvector
📄 Apache Tika for text extraction from any file type
⚡ Next.js (frontend)
☕ Quarkus + LangChain4j (backend brains)
🦙 Ollama (LLaMA 3.2 embeddings)
🐘 PostgreSQL + pgvector
📄 Apache Tika for text extraction from any file type
Favorite input field 😅
October 7, 2025 at 9:16 AM
Favorite input field 😅
Unfortunately because of an emergency in the family i have to postpone the session again...i am really sorry.
October 4, 2025 at 5:49 PM
Unfortunately because of an emergency in the family i have to postpone the session again...i am really sorry.
Thank you very much! :)
October 1, 2025 at 5:58 PM
Thank you very much! :)
Happy birthday Catherine! :)
October 1, 2025 at 5:48 PM
Happy birthday Catherine! :)
Thanks! I am unsure about PostgreSQL with pgvector, but since i have the most experience with it, i'm willing to try ^^
Why did you choose PostgreSQL, if you did?
Why did you choose PostgreSQL, if you did?
September 30, 2025 at 2:44 PM
Thanks! I am unsure about PostgreSQL with pgvector, but since i have the most experience with it, i'm willing to try ^^
Why did you choose PostgreSQL, if you did?
Why did you choose PostgreSQL, if you did?