Query search engine
Author: m | 2025-04-24
When users enter a search query in their browser’s search bar, the browser sends that query to the default search engine. The search engine then processes the query and
A Search Engine Query Is The
Custom Search JSON API: Introduction Stay organized with collections Save and categorize content based on your preferences. This document will help you to get familiar with Custom Search JSON API and its usage.Before you startCreate Programmable Search EngineBy calling the API user issues requests against an existing instance ofProgrammable Search Engine.Therefore, before using the API, you need to create one in theControl Panel. Follow the tutorialto learn more about different configuration options.Once it is created, you can find the Search Engine ID in the Overviewpage's Basic section. This is the cx parameter used by the API.Identify your application to Google with API keyCustom Search JSON API requires the use of an API key. An API key is a way to identify your client to Google.Programmable Search Engine (free edition) users:Get a KeyAfter you have an API key, your application can append the query parameterkey=yourAPIKey to all request URLs. The API key is safe for embedding in URLs, it doesn't need any encoding.API overviewAPI operationsThere is only one method to invoke in the Custom Search JSON API: Operation Description REST HTTP mapping list Returns the requested search results from a Programmable Search Engine. GET API data modelThe result of a search query to the Custom Search JSON API is a JSON object that includes three types of data: Metadata describing the requested search (and, possibly, related search requests) Metadata describing the Programmable Search Engine Search results See the Response data section of Using REST for more details.The data model is based on the OpenSearch 1.1 Specification. In addition to the standard OpenSearch properties, the Custom Search JSON API defines two custom properties and two custom query roles: Custom properties cx: The identifier of the Programmable Search Engine. safe: A description of the safe search level for filtering the returned results. Custom query roles nextPage: A role that indicates the query can be used to access the next logical page of results, if any. previousPage: A role that indicates the query can be used to access the previous logical page of results, if any. Try itTo play around and see what the API can do, without writing any code, visit the"Try this API" tool.For a full description of parameters visit thecse.list reference.To learn how to use the API via HTTP requests, continue toUsing REST.
Query Understanding for Search Engines
LinkedIn website/app.How does a search engine API work?Most APIs follow a similar structure: You start with some sort of input, which is then sent to the API, which then produces an output (or result). Here’s how this process works for a search engine API in particular:Define a queryYou’ll first need a query, or the thing to be searched for. The query can be augmented with different keywords, search filters, sorting parameters, or other criteria that are designed to produce more accurate results. (Think, for example, of searching for a pizza restaurant within a 10 mile radius that’s open at 9:30pm and delivers to your address.)“Call” the APIThe query is sent from a developer’s app, website, software, etc. to the search engine API using HTTPS requests. This process is known as “calling” the API.Process resultsThe search engine API receives the request (or query) and processes it internally. This includes analyzing keywords, applying search algorithms, and retrieving results—basically the exact same way the search engine normally operates (but in this case it’s taking place behind the scenes rather than on a search engine result page like bing.com).Deliver resultsThe results are returned to the app, website, or software that originally requested them. (Depending on the API and the developer’s application, the results can be delivered in different formats like JSON, XML, or HTML.)Result handlingOnce the results are delivered to the program, app, or website that originally requested them, it’s up to that software to handle them. Maybe additional processing is needed, or relevant information needs to be extracted, or other functions need to be performed. Once that’s done and the results are ready to display to an end user, they’re shown in the original program, app, or website.The impact of search APIsAPIs are a core part of modern software development, and a vitalA search engine query is the - Brainly.com
To enter a query into our search engine, just type in a few descriptive words and hit the 'enter' key (or click on the Search button) for a list of relevant web pages. Since our search engine only returns web pages that contain all the words in your query, refining or narrowing your search is as simple as adding more words to the search terms you have already entered. Your new query will return a smaller subset of the pages our search engine found for your original "too-broad" query.Choosing KeywordsFor best results, it is important to choose your keywords wisely. Keep these tips in mind:Try the obvious first. If you are looking for information on Picasso, enter "Picasso" rather than "painters".Use words likely to appear on a site with the information you want. "Luxury hotel dubuque" gets better results than "really nice places to spend the night in Dubuque".Make keywords as specific as possible. "Antique lead soldiers" gets more relevant results than "old metal toys".Automatic "and" QueriesBy default, our search engine only returns pages that include all of your search terms. There is no need to include "and" between terms. Keep in mind that the order in which the terms are typed will affect the search results. To restrict a search further, just include more terms.For example, to plan a vacation to Hawaii, simply type:Automatic Exclusion of Common WordsOur search engine ignores common words and characters such as "where" and "how", as well as certain single digits and single letters, because they tend to slow down your search without improving the results.If a common word is essential to getting the results you want, you can include it by putting a "+" sign in front of it.(Be sure to include a space before the "+" sign.)Another method for doing this is conducting a phrase search, which simply means putting quotation marks around two or more words. Common words in a phrase search(e.g., "where are you") are included in the search.For example, to search for Star Wars, Episode I, use:~ OR ~ " - " SearchesSometimes what you are searching for has more than one meaning; "bass" can refer to fishing or music. You can exclude a word from your search by putting a minus sign ("-") immediately in front of the term you want to avoid. (Be sure to include a space before the minus sign.)For example, to find web pages. When users enter a search query in their browser’s search bar, the browser sends that query to the default search engine. The search engine then processes the query and Search Engine Query Maker And Navigator. Multilanguage oriented query composer for search enginesA search engine query is the A. process of deciding which search engine
A homepage. You can set the homepage to URL and the U.S version will be open when you open the browser.Modern web browsers also allow searching the queries using the address bar (Omnibox). If you’re using a Chrome, Edge, Firefox, or Brave browser, you can search any query by typing the query in its URL section. It also redirects to the country version of Google.But Chrome and Edge give an option to add custom search engines for the address bar. With this option, you can force the Chrome or Edge browser to open the US version of the search engine.On Google ChromeThe steps are given below.1. Open Google Chrome and go to Settings by clicking on the Menu from the top right.2. Now from the Settings page, click on the Search Engine option from the left navigation pane and open the Manage search engines and site search option from the right side.3. Scroll down and click on the ADD button next to the Site Search option and the popup window will open.4. Type Google NCR in the Search Engine and google.com in the Shortcut field. And copy and paste the given link to the “URL with %s in place of query” field. on the Save button.5. Now you’ll see the Google NCR (newly added) search engine option under Site search. Click on the three vertical dots next to the search engine and select the Make Default option from the context menu.6. That’s all.On Microsoft Edge1. Open Edge browser and click on the Menu (three horizontal dots) from the top right. Select Settings from the list.2. Now the Settings page will be open. Click on the “Privacy, search, and services” option from the left navigation pane. From the right side, scroll down to the end of the page and open the “Address bar and search” option from under Services.3. Click on the “Manage Search Engine” option.4. Now click on the ADD button from the top right and the popup window will open.5. On the pop-up window, Type GoogleUS in the Search engine and Keyword field. Copy and paste the given link to the “URL with %s in place of query” field. on the Save button.6. Now the Search engine is added to the list. Click on the three horizontal dots next to the newly added search engine and select the Make default option.7. That’s all.Final WordsI hope this article helped youGitHub - djkelleher/search-engines: Query and scrape search engines
A specific engine, such as hispasec (hispasec_ai_analysis). [ENGINE]_ai_verdict [ENGINE]_ai_verdict:[benign|suspicious|malicious] Searches for benign, suspicious or malicious verdicts generated by a single Crowdsourced AI engine. VirusTotal introduces new engine-specific search modifiers ([ENGINE]_ai_analysis and [ENGINE]_ai_verdict) as new engines are incorporated into Crowdsourced AI. For example, with the addition of the ByteDefend engine, the platform released two new search modifiers: bytedefend_ai_analysis and bytedefend_ai_verdict.The AI search modifiers can be combined with other AI search modifiers or with any other modifiers supported by VirusTotal using the logical operators AND, OR, and NOT. For example, the search query crowdsourced_ai_analysis:"inject" AND crowdsourced_ai_analysis:"explorer.exe" can be used to identify files that perform injection involving the explorer.exe process. The results returned from VirusTotal include the PowerShell script da.ps1, which injects code from an external file into this process. This functionality of the script is documented in the summary generated by the Code Insight AI engine.da.ps1 injects code into explorer.exe Code Insight analysis of da.ps1 Another example is the search query crowdsourced_ai_analysis:"Shell.Run" AND behavior_created_processes:"powershell.exe". This query can be used to identify files that invoke the Run function of the Windows Script Host Shell object to execute the PowerShell process powershell.exe for conducting further activities. The results returned from VirusTotal include the Visual Basic script 297641663, which executes a PowerShell command using the Run function to download a payload from a remote server.297641663 executes powershell.exe Code Insight analysis of 297641663 Although the AI engines integrated into VirusTotal provide valuable insights, they should be used as tools to assist in malware analysis efforts, as part of a broader analysis strategy. AI engines are designed and trained to analyze code based on historical data, and therefore may not always accurately interpret novel techniques or highly obfuscated code in malware implementations. As a result, the summaries they generate may sometimes lack sufficient or useful information for analysts.Clustering With Search ModifiersThe extensive number of VirusTotal search modifiers enables analysts to query the platform in a practical and precise way. This allows for retrieving submitted artifacts and related information that are relevant to specific threats under investigation. However, false positives (where retrieved data is not related to the investigated threat) and false negatives (where relevant data is missing) can impact the relevance and completeness of search results. The way in which queries are formulated is important for addressing or alleviating the impact of these challenges. Combining search modifiers using the logical operators AND, OR, and NOT and refiningKQL Search - Search engine for KQL Queries
SearchWP DocumentationView the installation guide, browse the Knowledge Base, find out about SearchWP’s many hooks Table of Contents Basic UsageArgumentsMethodsHooks \SWP_Query an alternative to \SearchWP\Query with a couple of important differences:The design and implementation is modeled after WP_Query.As a result, regardless of \SearchWP\Engine configuration, results will be limited to \SearchWP\Sources based on WP_Post e.g. Posts, Pages, Media, and Custom Post Types.Basic Usage\SWP_Query can be used just as you would (and in some cases swapped in for usage of) WP_Query: This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode characters Show hidden characters //@link global $post; $swp_query = new SWP_Query( [ 's' => 'coffee', // Search query. 'engine' => 'default', // Engine name. ] ); if ( $swp_query->have_posts() ) { while ( $swp_query->have_posts() ) : $swp_query->the_post(); ?> "> endwhile; wp_reset_postdata(); } else { ?> No results found. } Note: There are some caveats in that \SWP_Query does not have feature parity with WP_Query. Please refer to this documentation which outlines what methods and properties are available to you.Also note: Because \SWP_Query was designed to be (mostly) interoperable with WP_Query there may be times (e.g. when there is no s (search query) parameter) you can swap WP_Query back in to retrieve your results like so: This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode characters Show hidden characters // @link global $post; $args = [ 's' => get_search_query(), 'tax_query' => [ [ 'taxonomy' => 'people', 'field' => 'slug', 'terms' => 'bob', ] ], ]; // If a search query is present use SWP_Query // else fall back to WP_Query if ( ! empty( $args['s'] ) ) { $swp_query = new SWP_Query( $args ); } else { $swp_query = new WP_Query( $args ); } // Loop through results. if ( $swp_query->have_posts() ) { while ( $swp_query->have_posts() ) : $swp_query->the_post(); ?> "> endwhile; wp_reset_postdata(); } else { ?> No results found. } ArgumentsWhen instantiating a new \SearchWP\Attribute an array of the following can be provided:s (string)Search query. (default: '')engine (string)\SearchWP\Engine name. (default: 'default')posts_per_page (integer)Number of posts to return per page. (default: get_option( 'posts_per_page' ))load_posts (boolean)Whether to return results as WP_Posts. (default: true)fields (string)Whether to return "all" or "ids". (default: "all")nopaging (boolean)Whether to disable pagination and return all results. (default: false)page (integer)Which page of results to return. (default: null)paged (integer)Which page of results to return. (default: 1)post__in (integer[])Limit search pool to these IDs (default: [])post__not_in (integer[])Limit search pool to these IDs (default: [])post_typeQuery Recommendation Using Query Logs in Search Engines
Explore the comprehensive full-text search engine comparison: Manticore Search vs OpenSearch. Discover performance, features, and scalability to determine the ideal solution for your project’s search requirements.OverviewSelecting the right search engine is vital for project success. Compare Manticore Search and OpenSearch, two powerful search engines, to find the perfect match for your high-performance, scalable search needs.By examiningkey features, we can better understand how Manticore Search and OpenSearch compare in varioususe casesand requirements. Let’s delve into the specifics of each engine to help you make an informed decision for your search implementation.What is Manticore SearchManticore Search is an open-source, high-performance search engine designed for full-text search and real-time data indexing. Known for its speed, efficiency, and scalability, it excels in handling large datasets and offers scalability, making it a great choice for applications requiring rapid search responses. With a focus on simplicity, it provides flexible features like advanced filtering, ranking, and querying capabilities, while also being highly customizable.What is OpensearchOpenSearch is an open-source search engine and analytics suite, originally forked from Elasticsearch. Built to remain under the permissive Apache 2.0 license, it focuses on maintaining a fully open-source approach. OpenSearch offers distributed search and analytics, real-time indexing, and is highly scalable. It includes tools like OpenSearch Dashboards and OpenSearch Ingestion for visualizing and ingesting data, making it ideal for log analytics, observability, and search applications. With a community-driven governance model, OpenSearch allows users to retain flexibility without vendor lock-in.Key FeaturesManticore Search and OpenSearch are two powerful full-text search engines that offer robust solutions for document indexing and searching. Each engine brings its unique strengths to the table, providing developers with tools to create fast and efficient search experiences. Let’s explore the key features of both engines to help you determine which one best fits your project requirements.FeatureManticore SearchOpensearchOpen sourceGPLv3✓Full-text search✓✓Autocomplete (predictive typing suggestions)✓✓Fuzzy search (handling typos)✓✓Vector Search (semantic and similarity-based searching)✓✓Boolean full-text search (AND, OR, NOT query support)✓✓Faceting (organize and narrow search results)✓✓Grouping and aggregation (combine related search results)✓✓Geospatial search (location-based search capabilities)✓✓JOINs (combine data from different sources)✓✗Synonyms (support for alternate search terms)✓✓Percolate search (match queries to incoming data)✓✓Real-time indexing (immediate document updates)✓⚠️ (not by default)Secondary indexes (support multiple indexes for faster queries)✓✓Row-wise storage (row-oriented data storage)✓✗Columnar storage (column-oriented data storage)✓✓Docstore (store original values)✓✓Cost-based query optimizer (choose the best query plan based on data)✓✓In-place updates (update documents without re-indexing)✓✗Nested object/JSON field (support complex JSON structures)✓✓Auto-schema (automatic schema generation for data)✓✓SQL support (query using SQL syntax)✓⚠️ (very limited)JSON support (query using JSON syntax)✓✓Bulk inserts (insert large amounts of data efficiently)✓✓Distributed search (search across multiple nodes)✓✓High availability (data mirroring and load balancing)✓✓Replication (copy data across different nodes for redundancy)✓✓Auto-sharding (automatic data partitioning across nodes)⚠️ coming soon🔗✓Authentication (built-in user authentication features)✗✓Both Manticore Search and OpenSearch. When users enter a search query in their browser’s search bar, the browser sends that query to the default search engine. The search engine then processes the query and
Query recommendation using query logs in search engines
A query rewriting dictionary, you can begin to experiment with using it in your search engine. There are many different things you can consider doing:Spelling correction, without messaging to the userSpelling correction, where you tell the user you’ve flipped their query to something else, and offer them a way to get back to the original queryA spelling suggestion, but showing the results for the original queryShowing a few results from the original query, and then the rest from the query alterationShowing a few results from the query alteration, and then the rest from the original queryRunning a modified query, where extra terms are added to the user’s query (or perhaps some hints are given to the ranking function about the words in the query and the rewriting system’s confidence in them)Running the original query, but highlighting words in the results that come from the rewriting systemUsing the query rewriting data in autosuggest or related searchesOr something else… really, it is a gold mine of ideasWhat are the challenges?Everything in search comes with its problems. There are recall and precision tradeoffs. And there are just plain mistakes that you need to avoid.Suppose a user attended Central Michigan University. To 99% of users, CMU is Carnegie Mellon University, but not this user and a good number like him. This user comes to our search engine, runs the query CMU, doesn’t get what he wants (not interested in Carnegie Mellon), types Central Michigan University instead, and clicks on the first result. Our miningMining search engine query logs for query recommendation
You can use the address bar (omnibox) to search the web. In some countries, Google Search is Chrome's default search engine. In others, you may be asked to choose your default search engine. You can change your default search engine at any time.If you notice unexpected changes in your search engine, you might have malware. Learn how to remove malware.Set your default search engine On your computer, open Chrome. At the top right, select More Settings. Select Search engine. Next to 'Search engine used in the address bar', select the down arrow . Select a new default search engine.Tips: A Chrome feature might not be available if your search engine doesn't support it. If you've tried to set your search engine but it doesn't work, you may have malware. Learn how to restore your Chrome settings. If you use Chrome at work or school, your network admin may choose a default search engine, or manage your search engines for you. Learn more about a managed Chrome organisation or check if your Chromebook is managed.Manage search engines and site shortcutsYou can add, edit or remove site search shortcuts and set a default search engine. In some countries, custom site searches aren't able to be set as default for guest profiles. On your computer, open Chrome. At the top right, select More Settings. On the left, select Search engine Manage search engines and site search. To change site search shortcuts: Tips: You can set up shortcuts to search specific sites. You can edit or turn off the shortcuts for open tabs, bookmarks and browsing history in site searches. But they can't be deleted. You can't edit, delete or set Gemini as your default search engine. Learn how to use the Gemini web app to get answers in Chrome. When you deactivate a site search shortcut, it moves to the section, 'Inactive shortcuts'. You can also find other suggested sites listed in the section, 'Inactive shortcuts'. To add them to your site search shortcuts, select Activate. For some search sites, the site appears in the 'Inactive shortcuts' section only after you search on that site. Fill in text fields'Shortcut' fieldEnter the text shortcut that you want to use for the search engine. You can enter the keyword in your address bar to quickly use the search engine.'URL with %s in place of query' field Enter the web address for the search engine's results page, and use %s where the query would go. To find and edit the web address of the results page: Go to the search engine that you want to add. Do a search. Copy and paste the web address of the search results page into the URL field. The address. When users enter a search query in their browser’s search bar, the browser sends that query to the default search engine. The search engine then processes the query and Search Engine Query Maker And Navigator. Multilanguage oriented query composer for search enginesQuery ranking model for search engine query recommendation
Creates a share link for a file using the path. Parameters Name Key Required Type Description File Path path True string The unique path of the file. Link type type True string The type of link Link scope scope string The scope of the link Returns Delete file This operation deletes a file. Parameters Name Key Required Type Description File id True string The unique identifier of the file. Extract archive to folder This operation extracts an archive file into a folder (example: .zip). Maximum archive size is 50 MB and 100 files inside. Parameters Name Key Required Type Description Source Archive File Path source True string The path to the archive file. Destination Folder Path destination True string The path to extract the archive contents. Overwrite overwrite boolean Overwrites the destination files if set to 'true'. Returns Find files in folder This operation finds files within a folder using search or name pattern match. Parameters Name Key Required Type Description Search Query query True string The search query to use Folder id True string The unique identifier of the folder. File Search Mode findMode True string The search method to use. "Search" mode searches your OneDrive using the search query (similar a normal search engine). When "Regular Expression Pattern Match" mode is selected, the search query will be treated as a regex pattern, and it will return files with names that match the query Number of files to return maxFileCount integer Maximum number of files to return (1-100) Returns Find files in folder by path This operation finds files within a folder by path using search or name pattern match. Parameters Name Key Required Type Description Search Query query True string The search query to use Folder Path path True string The unique path of the folder. File SearchComments
Custom Search JSON API: Introduction Stay organized with collections Save and categorize content based on your preferences. This document will help you to get familiar with Custom Search JSON API and its usage.Before you startCreate Programmable Search EngineBy calling the API user issues requests against an existing instance ofProgrammable Search Engine.Therefore, before using the API, you need to create one in theControl Panel. Follow the tutorialto learn more about different configuration options.Once it is created, you can find the Search Engine ID in the Overviewpage's Basic section. This is the cx parameter used by the API.Identify your application to Google with API keyCustom Search JSON API requires the use of an API key. An API key is a way to identify your client to Google.Programmable Search Engine (free edition) users:Get a KeyAfter you have an API key, your application can append the query parameterkey=yourAPIKey to all request URLs. The API key is safe for embedding in URLs, it doesn't need any encoding.API overviewAPI operationsThere is only one method to invoke in the Custom Search JSON API: Operation Description REST HTTP mapping list Returns the requested search results from a Programmable Search Engine. GET API data modelThe result of a search query to the Custom Search JSON API is a JSON object that includes three types of data: Metadata describing the requested search (and, possibly, related search requests) Metadata describing the Programmable Search Engine Search results See the Response data section of Using REST for more details.The data model is based on the OpenSearch 1.1 Specification. In addition to the standard OpenSearch properties, the Custom Search JSON API defines two custom properties and two custom query roles: Custom properties cx: The identifier of the Programmable Search Engine. safe: A description of the safe search level for filtering the returned results. Custom query roles nextPage: A role that indicates the query can be used to access the next logical page of results, if any. previousPage: A role that indicates the query can be used to access the previous logical page of results, if any. Try itTo play around and see what the API can do, without writing any code, visit the"Try this API" tool.For a full description of parameters visit thecse.list reference.To learn how to use the API via HTTP requests, continue toUsing REST.
2025-04-19LinkedIn website/app.How does a search engine API work?Most APIs follow a similar structure: You start with some sort of input, which is then sent to the API, which then produces an output (or result). Here’s how this process works for a search engine API in particular:Define a queryYou’ll first need a query, or the thing to be searched for. The query can be augmented with different keywords, search filters, sorting parameters, or other criteria that are designed to produce more accurate results. (Think, for example, of searching for a pizza restaurant within a 10 mile radius that’s open at 9:30pm and delivers to your address.)“Call” the APIThe query is sent from a developer’s app, website, software, etc. to the search engine API using HTTPS requests. This process is known as “calling” the API.Process resultsThe search engine API receives the request (or query) and processes it internally. This includes analyzing keywords, applying search algorithms, and retrieving results—basically the exact same way the search engine normally operates (but in this case it’s taking place behind the scenes rather than on a search engine result page like bing.com).Deliver resultsThe results are returned to the app, website, or software that originally requested them. (Depending on the API and the developer’s application, the results can be delivered in different formats like JSON, XML, or HTML.)Result handlingOnce the results are delivered to the program, app, or website that originally requested them, it’s up to that software to handle them. Maybe additional processing is needed, or relevant information needs to be extracted, or other functions need to be performed. Once that’s done and the results are ready to display to an end user, they’re shown in the original program, app, or website.The impact of search APIsAPIs are a core part of modern software development, and a vital
2025-04-02A homepage. You can set the homepage to URL and the U.S version will be open when you open the browser.Modern web browsers also allow searching the queries using the address bar (Omnibox). If you’re using a Chrome, Edge, Firefox, or Brave browser, you can search any query by typing the query in its URL section. It also redirects to the country version of Google.But Chrome and Edge give an option to add custom search engines for the address bar. With this option, you can force the Chrome or Edge browser to open the US version of the search engine.On Google ChromeThe steps are given below.1. Open Google Chrome and go to Settings by clicking on the Menu from the top right.2. Now from the Settings page, click on the Search Engine option from the left navigation pane and open the Manage search engines and site search option from the right side.3. Scroll down and click on the ADD button next to the Site Search option and the popup window will open.4. Type Google NCR in the Search Engine and google.com in the Shortcut field. And copy and paste the given link to the “URL with %s in place of query” field. on the Save button.5. Now you’ll see the Google NCR (newly added) search engine option under Site search. Click on the three vertical dots next to the search engine and select the Make Default option from the context menu.6. That’s all.On Microsoft Edge1. Open Edge browser and click on the Menu (three horizontal dots) from the top right. Select Settings from the list.2. Now the Settings page will be open. Click on the “Privacy, search, and services” option from the left navigation pane. From the right side, scroll down to the end of the page and open the “Address bar and search” option from under Services.3. Click on the “Manage Search Engine” option.4. Now click on the ADD button from the top right and the popup window will open.5. On the pop-up window, Type GoogleUS in the Search engine and Keyword field. Copy and paste the given link to the “URL with %s in place of query” field. on the Save button.6. Now the Search engine is added to the list. Click on the three horizontal dots next to the newly added search engine and select the Make default option.7. That’s all.Final WordsI hope this article helped you
2025-03-26A specific engine, such as hispasec (hispasec_ai_analysis). [ENGINE]_ai_verdict [ENGINE]_ai_verdict:[benign|suspicious|malicious] Searches for benign, suspicious or malicious verdicts generated by a single Crowdsourced AI engine. VirusTotal introduces new engine-specific search modifiers ([ENGINE]_ai_analysis and [ENGINE]_ai_verdict) as new engines are incorporated into Crowdsourced AI. For example, with the addition of the ByteDefend engine, the platform released two new search modifiers: bytedefend_ai_analysis and bytedefend_ai_verdict.The AI search modifiers can be combined with other AI search modifiers or with any other modifiers supported by VirusTotal using the logical operators AND, OR, and NOT. For example, the search query crowdsourced_ai_analysis:"inject" AND crowdsourced_ai_analysis:"explorer.exe" can be used to identify files that perform injection involving the explorer.exe process. The results returned from VirusTotal include the PowerShell script da.ps1, which injects code from an external file into this process. This functionality of the script is documented in the summary generated by the Code Insight AI engine.da.ps1 injects code into explorer.exe Code Insight analysis of da.ps1 Another example is the search query crowdsourced_ai_analysis:"Shell.Run" AND behavior_created_processes:"powershell.exe". This query can be used to identify files that invoke the Run function of the Windows Script Host Shell object to execute the PowerShell process powershell.exe for conducting further activities. The results returned from VirusTotal include the Visual Basic script 297641663, which executes a PowerShell command using the Run function to download a payload from a remote server.297641663 executes powershell.exe Code Insight analysis of 297641663 Although the AI engines integrated into VirusTotal provide valuable insights, they should be used as tools to assist in malware analysis efforts, as part of a broader analysis strategy. AI engines are designed and trained to analyze code based on historical data, and therefore may not always accurately interpret novel techniques or highly obfuscated code in malware implementations. As a result, the summaries they generate may sometimes lack sufficient or useful information for analysts.Clustering With Search ModifiersThe extensive number of VirusTotal search modifiers enables analysts to query the platform in a practical and precise way. This allows for retrieving submitted artifacts and related information that are relevant to specific threats under investigation. However, false positives (where retrieved data is not related to the investigated threat) and false negatives (where relevant data is missing) can impact the relevance and completeness of search results. The way in which queries are formulated is important for addressing or alleviating the impact of these challenges. Combining search modifiers using the logical operators AND, OR, and NOT and refining
2025-03-30Explore the comprehensive full-text search engine comparison: Manticore Search vs OpenSearch. Discover performance, features, and scalability to determine the ideal solution for your project’s search requirements.OverviewSelecting the right search engine is vital for project success. Compare Manticore Search and OpenSearch, two powerful search engines, to find the perfect match for your high-performance, scalable search needs.By examiningkey features, we can better understand how Manticore Search and OpenSearch compare in varioususe casesand requirements. Let’s delve into the specifics of each engine to help you make an informed decision for your search implementation.What is Manticore SearchManticore Search is an open-source, high-performance search engine designed for full-text search and real-time data indexing. Known for its speed, efficiency, and scalability, it excels in handling large datasets and offers scalability, making it a great choice for applications requiring rapid search responses. With a focus on simplicity, it provides flexible features like advanced filtering, ranking, and querying capabilities, while also being highly customizable.What is OpensearchOpenSearch is an open-source search engine and analytics suite, originally forked from Elasticsearch. Built to remain under the permissive Apache 2.0 license, it focuses on maintaining a fully open-source approach. OpenSearch offers distributed search and analytics, real-time indexing, and is highly scalable. It includes tools like OpenSearch Dashboards and OpenSearch Ingestion for visualizing and ingesting data, making it ideal for log analytics, observability, and search applications. With a community-driven governance model, OpenSearch allows users to retain flexibility without vendor lock-in.Key FeaturesManticore Search and OpenSearch are two powerful full-text search engines that offer robust solutions for document indexing and searching. Each engine brings its unique strengths to the table, providing developers with tools to create fast and efficient search experiences. Let’s explore the key features of both engines to help you determine which one best fits your project requirements.FeatureManticore SearchOpensearchOpen sourceGPLv3✓Full-text search✓✓Autocomplete (predictive typing suggestions)✓✓Fuzzy search (handling typos)✓✓Vector Search (semantic and similarity-based searching)✓✓Boolean full-text search (AND, OR, NOT query support)✓✓Faceting (organize and narrow search results)✓✓Grouping and aggregation (combine related search results)✓✓Geospatial search (location-based search capabilities)✓✓JOINs (combine data from different sources)✓✗Synonyms (support for alternate search terms)✓✓Percolate search (match queries to incoming data)✓✓Real-time indexing (immediate document updates)✓⚠️ (not by default)Secondary indexes (support multiple indexes for faster queries)✓✓Row-wise storage (row-oriented data storage)✓✗Columnar storage (column-oriented data storage)✓✓Docstore (store original values)✓✓Cost-based query optimizer (choose the best query plan based on data)✓✓In-place updates (update documents without re-indexing)✓✗Nested object/JSON field (support complex JSON structures)✓✓Auto-schema (automatic schema generation for data)✓✓SQL support (query using SQL syntax)✓⚠️ (very limited)JSON support (query using JSON syntax)✓✓Bulk inserts (insert large amounts of data efficiently)✓✓Distributed search (search across multiple nodes)✓✓High availability (data mirroring and load balancing)✓✓Replication (copy data across different nodes for redundancy)✓✓Auto-sharding (automatic data partitioning across nodes)⚠️ coming soon🔗✓Authentication (built-in user authentication features)✗✓Both Manticore Search and OpenSearch
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