Ashish Tiwari 🇮🇳 @_ashish_tiwari
🇮🇳 Search specialist @ Elastic | talks about search, Vector search, RAG, Observability | Developer ashish.one Mumbai , maharashtra , India Joined May 2010-
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I just ran the Tantivy benchmark (tantivy-search.github.io/bench/) on Lucene 10.2 vs a Lucene 10.3 snapshot build. Lucene 10.2 already performed very well, but Lucene 10.3 is on another level. Very exciting.
I just ran the Tantivy benchmark (tantivy-search.github.io/bench/) on Lucene 10.2 vs a Lucene 10.3 snapshot build. Lucene 10.2 already performed very well, but Lucene 10.3 is on another level. Very exciting. https://t.co/AFGGvPUDJz
Stop calling it hybrid just because you added metadata filters on vectors. Hybrid ≠ Vectors + Filters Hybrid = Lexical + Semantic + Scoring + Access + Scale + Control Autocomplete, facets, reranking, geo, access, LLM pipelines — all in one query. That’s hybrid.
What’s your approach to fast sorting in search? sort, index.sort, or just brute force? Elasticsearch now uses BKD trees + distance-based pruning to sort up to 900× faster on numeric fields. 📈 Smart skipping. Minimal scoring. 🧠 Read how it works: elastic.co/search-labs/bl…
Thats incredible energy. Great show on first day of @LaraconIN. Ready for tomorrow ;) Going to revert all 73 questions 😀
Thats incredible energy. Great show on first day of @LaraconIN. Ready for tomorrow ;) Going to revert all 73 questions 😀
Ashish Tiwari, Senior Developer Advocate, will discuss #GenerativeAI and Large Language Models in PHP. A cutting-edge session by @_ashish_tiwari on #AI in #PHP! Grab your tickets now 🔗 bit.ly/4i7M96h #LaraconIN #LaraconIN2025 #Laravel #LaravelCommunity #TechEvents
Elastic and Kafka meetup underway at @One2NC Great start of the meetup with a talk by Ashish Tiwari about Elastic Observability.
elasticsearch is 15 years old today! @kimchy announced it with the "You Know, for Search" tagline and the first release (0.4.0) back in february 2010. a thread 🧵 to the last 15 years of indexing and search. and to the next 15 years of relevance
LLM recommendations for @elastic security with models from @AnthropicAI, @OpenAI, and @Google : elastic.co/guide/en/secur… PS: since I found it a bit tricky to read on the first glimpse: excellent > great > good > poor
Join us at the Elastic Meetup to explore #Elastic & #AI innovation. Learn about #RAGapplications, #hybridsearch, #vectorsearch & integrating #languagemodels with #Elasticsearch. Register: wearecommunity.io/events/elastic…
Amazing Saturday at @elastic RAG Meetup मुंबई. Lot of good feedbacks and discussions around RAG, Embeddings and Agents. Beautifully explained Vector Visualizations by @dhruv___anand, Agentic RAG by @SabirSopariwala and RAG with Elastic playground from my end.
And we're back. All impacted repositories have been made public.
Some of our @elastic public repo marked as private. We're on it. Stay updated on status.elastic.co.
We're on it! Follow the status page for updates as well: status.elastic.co/incidents/9mml…
We're on it! Follow the status page for updates as well: status.elastic.co/incidents/9mml…
Something exciting is coming in Elasticsearch 8.16: 32x level of compression with Better Binary Quantization using RaBitQ method. PR -github.com/elastic/elasti… RaBitQ - arxiv.org/pdf/2405.12497
And we’re OpenSource again ♥️
That's a wrap for #ElasticON 2024 Bengaluru! 🎉 Huge thanks to the amazing speakers at the community track and a fantastic AMA session with @ash_kulkarni and @Baha from @elastic . 🚀💬 Excited for what’s next with this incredible community! 🙌
That was a wrap for @elastic chennai meetup @ @ibm_in Software A G office. 🙌 Discussed Elastic journey at Software A G, Universal profiling, RAG (Elastic + Gemini) & Whats new in Elastic ( semantic_text, LogsDB mode, LTR in GA, ES|QL )
#ccdgn24 - Multilingual RAG using Gemini and Elastic By @_ashish_tiwari youtu.be/xEkMp7qtsZI @GDGCloudGN @elastic @GoogleDevsIN @GoogleCloud_IN

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