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Ask HN: Books about full text search?

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Re: Ask HN: Books about full text search?

#24
post #7

Three reference textbooks are available openly: * Introduction to Information Retrieval, http://informationretrieval.org/ * Information Retrieval in Practice, http://www.search-engines-book.com/ * Entity-Oriented Search, https://eos-book.org/ Modern Information Retrieval is also a classic reference. Not openly available but some contents are (were?) available online. Their site seems to be down but the Internet Archi…

I am biased, but building the Intro to Information Retrieval chapters in your favorite language, bit by bit, is really good to get the feel of the tradeoffs for index capabilities.

Re: Ask HN: Books about full text search?

#25

“Relevant search” by Doug Turnbull and John Berryman, published by Manning, is THE best book to get started with tuning search engines. I’be been a search engineer for >10 years and this is always the first book I recommend. https://www.manning.com/books/relevant-search

Awe thanks Max <3

Before I read your book, I thought, "I know all about search!"

After I read it...

"...I knew NOTHING about search."

No book has ever knocked me off my pedestal so brutally and so thoroughly.

Re: Ask HN: Books about full text search?

#26

Just use Postgres fulltext Search, its good enough http://rachbelaid.com/postgres-full-text-search-is-good-enou...

for postgres, i highly recommend the rum index over the core fts. rum is written by postgrespro, who also wrote core fts and json indexing in pg.

    https://github.com/postgrespro/rum
rum handles +20mil pdf pages, interactively.

Re: Ask HN: Books about full text search?

#30

Just use Postgres fulltext Search, its good enough http://rachbelaid.com/postgres-full-text-search-is-good-enou...

for postgres, i highly recommend the rum index over the core fts. rum is written by postgrespro, who also wrote core fts and json indexing in pg. https://github.com/postgrespro/rum rum handles +20mil pdf pages, interactively.

Pleasantly surprised that RUM is just a drop-in replacement for the built-in GIN index, you can still use Postgres' native FTS operations with it.
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