Julien L

Founder @WiScale & VelesDB (local-first AI data engine)

Paris, France Joined on Mar 21, 2026 https://wiscale.fr

Work

Founder at WiScale

Julien L for WiScale

Apr 4

I built a database in France because the Cloud Act makes EU data sovereignty impossible

#ai #python #privacy #database

12 min read

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Julien L for WiScale

Apr 2

What if SQL could search by meaning? Meet VelesQL

#ai #python #database #tutorial

13 min read

Julien L for WiScale

Apr 1

Run your AI assistant fully offline: a local-first architecture

#ai #python #privacy #tutorial

6 min read

Julien L

Apr 1

Share memory between AI agents without infrastructure

#ai #python #architecture #tutorial

5 min read

Julien L for WiScale

Mar 30

One query is never enough: why top RAG systems search three times

#ai #python #database #tutorial

9 min read

Julien L for WiScale

Mar 29

Stop Using Cosine for Everything: 5 Distance Metrics That Unlock Hidden Powers in Your Vector Database

#ai #python #database #tutorial

8 min read

Julien L for WiScale

Mar 29

Your RAG pipeline is missing two-thirds of the picture

#ai #python #database #tutorial

10 min read

Julien L for WiScale

Mar 29

Build a local RAG pipeline in 30 lines of Python (no Docker, no API keys)

#ai #python #rag #tutorial

4 min read

Julien L for WiScale

Mar 28

Build an MCP server that gives any LLM long-term memory

#ai #python #mcp #tutorial

4 min read

Julien L for WiScale

Mar 27

Give your AI agent a real memory in 50 lines of Python

#ai #python #database #tutorial

7 min read

Julien L for WiScale

Mar 26

I replaced my 500MB vector database Docker stack with a 3MB embedded engine

#ai #python #database #tutorial

5 min read

DEV Community

Julien L

Badges

Writing Debut

Organizations

WiScale

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Currently learning

Currently hacking on

Available for

I built a database in France because the Cloud Act makes EU data sovereignty impossible

Want to connect with Julien L?

What if SQL could search by meaning? Meet VelesQL

Run your AI assistant fully offline: a local-first architecture

Share memory between AI agents without infrastructure

One query is never enough: why top RAG systems search three times

Stop Using Cosine for Everything: 5 Distance Metrics That Unlock Hidden Powers in Your Vector Database

Your RAG pipeline is missing two-thirds of the picture

Build a local RAG pipeline in 30 lines of Python (no Docker, no API keys)

Build an MCP server that gives any LLM long-term memory

Give your AI agent a real memory in 50 lines of Python

I replaced my 500MB vector database Docker stack with a 3MB embedded engine