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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.
29 Απρ 2023 · Leverage the power of Elasticsearch for comprehensive full-text PDF search. Our solution enables you to quickly locate and retrieve specific information from PDF documents, delivering accurate and relevant results in no time.
17 Απρ 2024 · When it comes to PostgreSQL's Approach to Full-Text Search, the system provides specialized data types tailored for efficient text retrieval (opens new window). The tsvector type optimizes document representation for text searches, while the tsquery type facilitates crafting precise text queries.
2 Σεπ 2020 · A comparison of PostgreSQL and Elasticsearch full-text search over 1.5 million key-value pairs containing strings, numbers, and dates.
19 Ιουλ 2023 · In Part 1, we delved into the capabilities of PostgreSQL's full-text search and explored how advanced search features such as relevancy boosters, typo-tolerance, and faceted search can be implemented. In this part, we'll compare it with Elasticsearch.
In this section of the tutorial you are going to learn how to work with the full-text search capabilities of Elasticsearch. This will introduce you to several core topics such as working with the Python client library, creating and updating indices, making queries, and working with search results, all of which also apply to the more advanced ...
20 Ιαν 2020 · search on exact values (numeric, range and keyword) Use queries for: ambiguous result (some documents suit more than others) full-text search; Unless you need relevance score or full-text search always try to use filters. Filters are “cheaper”. In addition, Elasticsearch will automatically cache the results of filters.
