Latest updates for Manticore Search

Fresh curated links around Manticore Search are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Как KupujemProdajem ищет по 5,6 миллиона объявлений примерно за 10 мс с помощью Manticore Search
  • From Sphinx to PostgreSQL full text search
  • UUID в Manticore: единый ID для основной БД и Manticore

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habr.com /1 week ago

Как KupujemProdajem ищет по 5,6 миллиона объявлений примерно за 10 мс с помощью Manticore Search

Как крупнейшая площадка объявлений Сербии использует Manticore Search, чтобы искать по 5,6 миллиона активных объявлений примерно за 10 мс, обновлять индекс в реальном времени и гот...

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thomasleecopeland.com /3 weeks ago

From Sphinx to PostgreSQL full text search

Originally appeared on Junior Developer.Way back in 2008 I started a site to track military reading lists. I needed something for searching, and I was most familiar with Sphinx...

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habr.com /1 month ago

UUID в Manticore: единый ID для основной БД и Manticore

Допустим, у вашего товара в основной базе уже есть ID 550e8400-e29b-41d4-a716-446655440000. Он попадает в события, логи и ответы API. Но при загрузке того же товара в Manticore при...

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dev.to /1 month ago

Store and search chunks in Laravel with Meilisearch and Larameili

Many times, you have to split documents into chunks, embed them, and push them into Meilisearch. Now the chunks live in the index and only in the index. There is no reason to keep...

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cloud.google.com /1 month ago

How to solve PostgreSQL multilingual full-text search limitations with AlloyDB AI

AlloyDB powers enterprise-grade search for some of the largest organizations, providing robust hybrid search capabilities that combine text, vector, and keyword searches into a sim...

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habr.com /3 weeks ago

Поиск в глубину: какие инструменты помогают работать поиску в Uzum Market

Всем привет! Меня зовут Дмитрий Шипилов, с вами команда поиска Uzum Market.Мы уже рассказывали вам о нашем поисковом движке: о том, как вообще работает ранжирование и что у него по...

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morpht.com /1 month ago

Morpht: Building a semantic search chatbot with Drupal AI

The Drupal AI module provides everything needed for a RAG chatbot: AI Search embeds your content into a vector database, AI Assistant API wraps an LLM with a grounded search prompt...

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dev.to /3 weeks ago

Portable Semantic Search for Private SaaS Documents Using Embeddings Reranking and RAG

Short answer: start a private fintech knowledge-base feature with embeddings, in-app retrieval, and grounded chat completions; keep reranking optional until real questions show tha...

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newswire.com /1 week ago

HawkSearch Wins Competitive Enterprise Evaluation with Advanced Personalization and Entitlements

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martechseries.com /1 month ago

Elastic Brings Jina Multimodal and Multilingual Semantic Search to On-Premises and Air-Gapped Environments

Jina embedding and reranker models with frontier-grade accuracy are now available with zero external calls Elastic , the Search AI Company, announced that Jina AI models are availa...

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habr.com /6 days ago

Я хотел просто навести порядок в Obsidian. В итоге написал два индекса, semantic search и RAG

Я начинал с простого AI-аудита заметок, а в итоге Vault Audit AI вырос в систему с двумя индексами, поиском по смыслу, Similar Notes, semantic duplicates и RAG по собственному хран...

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marktechpost.com /1 week ago

Qwen Developers Open-Sources zg (zvec-grep): A Local-First Search Layer Unifying ripgrep, BM25, and Vector Search

We look at zg (zvec-grep), the local-first search layer that Qwen Developers just open-sourced under Apache 2.0. We explain how it puts ripgrep, BM25, and vector search behind a si...

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habr.com /1 month ago

UUID в Manticore: практическое руководство

В обзорной статье мы разобрали, зачем использовать в поиске тот же UUID, что и в основной базе (если таковая имеется). Здесь сразу перейдём к практике: создадим таблицу, выполним о...

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kmworld.com /1 month ago

OpenSearch 3.8 streamlines observability workflows

Updates expand the platform's search, AI, and observability capabilities with enhanced vector performance, broader agent integrations, and new tools

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rubyland.news

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cloudblog.withgoogle.com

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dev.to

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feeds.feedburner.com

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habr.com

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martechseries.com

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