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Items tagged search in Jan

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More than an OpenAI Wrapper: Perplexity Pivots to Open Source. I’m increasingly impressed with Perplexity.ai—I’m using it on a daily basis now. It’s by far the best implementation I’ve seen of LLM-assisted search—beating Microsoft Bing and Google Bard at their own game.

A year ago it was implemented as a GPT 3.5 powered wrapper around Microsoft Bing. To my surprise they’ve now evolved way beyond that: Perplexity has their own search index now and is running their own crawlers, and they’re using variants of Mistral 7B and Llama 70B as their models rather than continuing to depend on OpenAI. # 13th January 2024, 6:12 am

How to implement Q&A against your documentation with GPT3, embeddings and Datasette

If you’ve spent any time with GPT-3 or ChatGPT, you’ve likely thought about how useful it would be if you could point them at a specific, current collection of text or documentation and have it use that as part of its input for answering questions.

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Abusing AWS Lambda to make an Aussie Search Engine (via) Ben Boyter built a search engine that only indexes .au Australian websites, with the novel approach of directly compiling the search index into 250 different ~40MB large lambda functions written in Go, then running searches across 12 million pages by farming them out to all of the lambdas and combining the results. His write-up includes all sorts of details about how he built this, including how he ran the indexer and how he solved the surprisingly hard problem of returning good-enough text snippets for the results. # 16th January 2022, 8:52 pm

Exploring search relevance algorithms with SQLite

SQLite isn’t just a fast, high quality embedded database: it also incorporates a powerful full-text search engine in the form of the FTS4 and FTS5 extensions. You’ve probably used these a bunch of times already: many iOS, Android and desktop applications use SQLite under-the-hood and use it to implement their built-in search.

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What are the best events search engines?

Since I co-founded one I’m certainly not qualified to express an opinion on which ones are best, but here are a few of my favourites:

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What kind of publicly available search software is able to be purchased or used freely as part of a website, and how good is it?

There are plenty of good open source options—Solr is currently my favourite. It’s extremely powerful but you do need to do some programming on top of it—I use Django and Haystack to build the search UI on most of my projects.

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The Seven Deadly Sins of Solr. Useful advice on managing and deploying Solr. # 24th January 2010, 1:30 pm

All you ever wanted to know about writing bloom filters. This helped me understand a key use case for bloom filters: reducing the impact of the “worst case search is when there are no matching results so everything gets scanned” problem. # 30th January 2009, 8:26 am

pysolr. Python wrapper for Solr, the search web service wrapper for Lucene. One thing I’m not clear on: do you need to configure Solr with the fields you’ll be indexing in advance, or can Solr create new fields on the fly to match the data you send it? # 9th January 2008, 8:50 pm

Apache Solr 1.1. Solr is the search Web Service built on top of Lucene. The latest release introduces JSON, Python and Ruby response formats in addition to XML. # 13th January 2007, 1:16 am