Alessandro Benedetti
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
- Berlin Buzzwords5 editions2022–2026
on a stage with
- Anna Ruggeroonce
- Charlie Hullonce
- Etienne Dilockeronce
all 7 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Apache Solr 10: What's Coming up for Vector Search | Berlin Buzzwords 2026 | 2026-06-07 |
Solr 10/10.1 brings concrete vector-search plumbing: scalar quantization (compress float32 to 4 or 7 bits) and binary quantization (index as 1‑bit vectors… | ||
| End-to-End Semantic Search with Apache Solr 9.8 LLM Module | Berlin Buzzwords 2025 | 2025-06-15 |
Apache Solr 9.8 adds an LLM module that lets Solr call external embedding services (OpenAI, Cohere, Mistral, HuggingFace via LangChain4j) to encode text at… | ||
| Hybrid Search with Apache Solr Reciprocal Rank Fusion | Berlin Buzzwords 2024 | 2024-06-09 |
Implements Reciprocal Rank Fusion inside Apache Solr 9.7 as a QueryComponent that accepts multiple labeled JSON queries, pulls top-K lists (configurable… | ||
| Hybrid Search with Apache Solr | Community Over Code EU 2024 | 2024-06-03 |
Apache Solr supports vector KNN since 9.0 via the KNN Query Parser and adds prefiltering behavior in 9.1 so filters apply during top-K construction (avoiding… | ||
| Introducing Multi-valued Vector Fields in Apache Lucene | Berlin Buzzwords 2023 | 2023-06-18 |
Adds multi-valued KNN vectors to Lucene by making each HNSW node a vector ID and building an ordinal map to documents so the index can map ordinal vector ID to… | ||
| The Debate Returns (with more vectors): Which Search Engine? | Berlin Buzzwords 2023 | 2023-06-18 |
Five open-source engines compare concrete tradeoffs: one reports 48 billion vectors indexed in a single cluster and adds GPU-accelerated embedding inference… | ||
| Neural Search Comes to Apache Solr: Approximate Nearest Neighbor, BERT & more | Berlin Buzzwords 2022 | 2022-06-12 |
Apache Solr adds first-class neural search in 9.0: store vectors in a dense vector field, index with Lucene’s HNSW proximity graphs and run Approximate KNN… | ||
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