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  1. 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.

  2. 9 sty 2024 · It provides a distributed, full-text search engine with an HTTP web interface and schema-free JSON documents. This article examines ElasticSearch REST API and demonstrates basic operations using HTTP requests only.

  3. A few candidates: Lucene/Lucene with Compass/Solr. Sphinx. Postgresql built-in full text search. MySQl built-in full text search. Selection criteria: result relevance and ranking. searching and indexing speed. ease of use and ease of integration with Django.

  4. 12 gru 2020 · 3- Sphinx Search . Sphinx is a full-text search engine server written in C++ for best performance. It works seamlessly on Windows, Linux, macOS. It indexes all data in SQL or NoSQL database. Sphinx offers a rich API (SphinxAPI) that allows developer to integrate it easily and search using SphinxQL which resample old school SQL.

  5. Using Elasticsearch for full-text searches on unstructured data. Jenny Olsson. In order to perform effective searches on large amounts of data it is not viable to simply scan through all of said data. A well established solution for this problem is to generate an index based on the data.

  6. 1 sty 2017 · software for full-text search and data visualization is analyzed, and a system based on Elasticsearch engine and MapReduce. model is proposed for the solution of user verification problem...

  7. Use a full-text search engine (as a separate component in the software stack) Use full-text search features built into triple stores. Native full-text search functionality. Integration of external search engines. What is Full-Text Search? Retrieve text documents out of a large collection. Query is an unordered set of tokens (seq. of chars)

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