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  1. 2 Σεπ 2020 · A comparison of PostgreSQL and Elasticsearch full-text search over 1.5 million key-value pairs containing strings, numbers, and dates.

  2. Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences.

  3. Python program for searching pdf text, ranking the results and exporting highlighted search results in pdf. Uses trie structure, stack, heap, page graph. Converts queries to postfix notation. Allows for logical expressions and phrases. Offers did you mean functionality.

  4. PHP - Issue Tracking And Project Management System based on Agile Scrum technology with multilanguage support, email server sync, responsive design.

  5. 12 Ιουν 2024 · Advanced Querying and Full-text Search. From crafting complex search queries to turbocharging performance, this section has everything you need to upscal your Elasticsearch skills. Full-Text Search with Analyzers and Tokenizers; Using Query DSL for Complex Search Queries; Elasticsearch Multi Index Search; Cross-Index Searches; Data Modeling and ...

  6. 9 Ιαν 2024 · In this quick tutorial we focused on indexing documents and querying Elasticsearch for full-text search, directly via it’s REST API. We, of course, have APIs available for multiple programming languages when we need to – but the API is still quite convenient and language agnostic.

  7. 12 Νοε 2019 · No matter how well PostgreSQL does on its full-text searches, Elasticsearch is designed to search in enormous texts and documents(or records). And the more size you want to search in, the more Elasticsearch is better than PostgreSQL in performance.