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14 posts tagged with "RAG"

Retrieval-Augmented Generation topics

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Technical Strategy: Google Gemini Integration

· 5 min read
Jean-Noël Schilling
Locki one / french maintainer

Context: Audierne 2026 Election Platform

This document outlines how we will leverage the Google Gemini ecosystem (AI Studio, Flash models, and Agentic workflows) to accelerate the development of the Locki project. By utilizing these tools, we aim to bridge the gap between human ideation and automated N8N workflows, specifically for the Commit to Change hackathon and the subsequent election period.

Let us choose the stack

· 22 min read
Jean-Noël Schilling
Locki one / french maintainer

Project Context Update (Mid-to-Late January 2026)

Project: Locki / Ò Capistaine (audierne2026) - AI-powered civic transparency & participatory democracy platform for Audierne 2026 local elections (France) Core Mission: Build a neutral, source-based RAG chatbot to answer citizen questions about 4 municipal programs, automate contribution validation against charter rules, crawl/process municipal data (150+ links, 4,000+ PDFs), and showcase Opik integration for the "Commit to Change" Hackathon. Critical Timeline:

  • Contributions deadline: ~January 31, 2026
  • Hackathon prototype delivery: ~mid-February 2026 (4-week sprint)
  • Election period: ~March 15-22, 2026

OPIK : Agent & Prompt Optimization for LLM Systems

· 16 min read
Jean-Noël Schilling
Locki one / french maintainer

This training consolidates the operational and technical foundations needed to run and execute agent/prompt optimization in team settings (e.g., hackathons and internal workshops).

It includes :

  • eval-driven optimization of LLM agent prompts using measurable metrics and iterative loops,
  • including meta-prompting, genetic/evolutionary methods, hierarchical/reflective optimizers (HRPO), few-shot Bayesian selection, and parameter tuning.