Berlin Buzzwords 2025

Pietro Mele

Italian, adopted by France not long ago, I am a constant learner, dedicated to computer science and discovery—whether uncovering solutions or gaining insights.

Speaker at :

  • ElasticON 2023 - Searching through large graphs using Elasticsearch
  • Devoxx France 2023 - Cloning CHATGPT with ElasticSearch and HuggingFace
  • 10th Meetup Search & Data - Construire une API conversationnelle au dessus d'un moteur de recherche
  • Haystack US 2023 - Dive into NLP with the Elastic Stack
  • VoxxedDays Luxembourg 2023 - Cloner ChatGPT avec Hugging Face et Elasticsearch
  • DevoxxMorocco 2023 - Conversational Search - Unleashing the Power of Voice Search, Question Answering, and LLMs
  • DevFest Toulouse 2023 - Cloner ChatGPT avec Hugging Face et Elasticsearch
  • 11th Meetup Search & Data - Exploration of an Open Source Rag System
  • Devoxx France 2024 - Mettre en place un RAG Open Source en 30 minutes
  • Devoxx France 2024 - Construire son Assistant Intelligent avec Hugging Face et Elasticsearch
  • OpensearchCon EU 2024 - Implementing an open-source RAG with OpenSearch
  • VoxxedDays Luxembourg 2024 - Home Assistant sous surveillance
  • Devoxx Morocco 2024 - A practical guide about prompt engineering
  • 1st OpenSearch France UG - To the discovery of OpenSearch AI superpowers!
  • Big Data Europe 2024 - Exploring Large Graphs at the Heart of the French National Audiovisual Institute
    -ElasticON 2025 - Billion vectors baby
    -Devoxx UK 2025 - Exploring Large Graphs at the Heart of the French National Audiovisual Institute
    -OpensearchCon EU 2025 - Monitoring a smart home with Opensearch

Company/Organisation

Adelean

LinkedIn

https://www.linkedin.com/in/pietro-mele18061997/


Session

06-17
10:00
40min
Hybrid search on hybrid models, at scale
Radu Pop, Pietro Mele

We present an extensible hybrid search solution using Elasticsearch, built on a multi-index architecture and allowing the integration of multiple embedding models. Our approach addresses the challenges of searching a vast and heterogeneous collection, using different chunking granularity and offering an alternative to reciprocal rank fusion.

Kesselhaus