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Creating web search engine that retrieve information in one click search is a very rewarding personal challenge.
Sorting is a fundamental and universal problem in computer science. Sorting is needed in indexing big data in inverted index database format used in many modern database architecture to speed up information retrieval using natural language query.
Apache Lucene, example of open source full text search engine ⤵ 👈
Sphinx, another example of open source full text search engine ⤵ 👈
AWS DynamoDB another example of full text search engine ⤵ 👈
Azure CosmoDB another example of full text search engine ⤵ 👈
MongoDB another example of full text search engine
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Do you know the search retrieval technology use by AI?
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Explain full text search algorithm in easy to understand in one paragraph .
ChatGPT explanation of full text search in one paragraph
Below is the author definition with utility context:
Full text search algorithm is a search solution to find and retrieve exact match or partial match of series of string text stored in inverted indexed database of record for fast retrieval in range of milliseconds. Example of series of string text get me quadratic equation calculator . Try copying and pasting this series of text get me quadratic equation calculator in input box above to experience one click search is now possible.
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I quoted some information that I researched to answer the above questions.
"Since the 1940s the problem of information storage and retrieval has attracted increasing attention." ; "The problem of effective retrieval remains largely unsolved." ; "The comparatively slow progress of modern linguistics on the semantic front and the conspicuous failure of machine translation (Bar-Hillel[5]) show that these problems are largely unsolved."
source: C. J. “Keith” van Rijsbergen, often considered one of the founders of modern Information Retrieval (IR) This book was published in 1979. With ChatGPT AI technology released for public trial in November 2022, in my personal observation, the problem of effective information retrieval is now solved.
AI powered search engine for $20 per year subscription that can do one click search is now available. -- Apolinario (Sam) Ortega, founder of IN-V-BAT-AI
Problem statement:Using internet and cloud technology, search and retrieve quadratic equation calculator as an example using natural language query (NLQ) via voice or text input. Policy for search and retrieval method is one click search.
Simple accuracy testing: simply copy training data and paste it into search box below (see example of training data below). Expected result should be 100% accurately retrieve the stored information in one click search. There should be no need for model re-training as database keep on growing.
if you see error message 404 - not found. It means our inverted index database of full text does not have the exact match of text string. If you are a subscriber , we can easily add your full text string query in our database and next time you query, you can get your personal collected information any time using multiple devices.
Our parallel multiple input training label to output one click search is similar in concept of using multiple labeling to the latest paper from Amazon XMC framework , Extreme Multilabel Classification presented in Neural Information Processing Systems (NeurIPS) in Dec 14, 2021 to push the boundary on search and information retrieval. XMC framework is using 3 million training labels for 29 hours while our algorithm is using customized training label provided by our subscriber and live in production environment within 30 minutes from the time of service request.
Our one click technology search is similar in concept to Deepmind RETRO algorithm published in Dec 8, 2021 . ⤵ 👈 The concept similarity is using retrieval database in our case we are using inverted database technology. Deepmind is using about 2 trillion words database from text passages ⤵ 👈 while we are using customized text passages from our subscriber.
Examples of Exact Match Natural Language Query Training shown below
Illustration of parallel word clues or synonym word phrases input to output one click search result.
One shot learning is possible by using number only. Or it could have up to 54 parallel training meaningful synonym word phrases.
Two major advantages of our algorithm is less memory storage because we only stored personal collected knowledge of our subscriber therefore less database to search for faster retrieval time. The second advantage is affordable cost for $20 per year subscription, you will get on demand personal memory assistant chatbot powered by AI and cloud technology accessible via smartphone, tablet, laptop, desktop, and smart TV.
The disadvantage is you have to wait up to 24 hours to get your personal memory assistant chatbot because it will require manual data entry of your collected knowledge (for example Sam Ortega personal collected knowledge
⤵ 👈 ), then deploying it in web server residing in many redundant databases (also called cloud technology).
Few Shot Training Data
Any words or number shown below are search prompt to make 1 click search information retrieval possible.
IN-V-BAT-AI discovered how to implement natural language invariant retrieval system that make 1 click search possible.
We defined invariant retrieval system as returning the same output search every time the same input search prompt was used. We think it is one of the possible solutions to AI's explainability, traceability, and hallucination problem.
The sketch above is helpful to visualize how natural language invariant retrieval system works. Imagine all the rays of line are index database. When the index database grows the retrieval speed and output answer 54 should always
be the same answer for the purpose of traceablility, explainability, and provide strong evidence that there is no hallucination.
Let me show you how our invariant retrieval system works. The ground truth is always 54. Try typing or say any of string of text shown below in magenta color in input box above.
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IN-V-BAT-AI search and compute faster.
IN-V-BAT-AI automating solved problem.
IN-V-BAT-AI automated intelligent (AI) assistant