Visualize the click position distribution for a tracked search query.

e.g. for the search query "Zelda TOTK":

- First result: 3 clicks - Second result: 1 click - ...

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Shows the most frequently returned search results for a given period

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• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Display the most frequently used facet combinations

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• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

With Meilisearch, you would be able to quickly and easily try out your searches from the cloud dashboard. You would be able to add filters and sorts and instantly see what your search would look like in your application.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

We are considering adding a feature that would allow open-source users to access the cloud dashboard and its features, including settings configuration, task views, and document browsing. This would enable them to create an account on Meilisearch Cloud and generate a local project configuration. With this feature, users would have greater control over their projects and be able to customize them as needed.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Provide an interface that allows users to search through their indexes to test their searches. This includes:

• Listing answers in pretty previews or in JSON format.

• Customizing search parameters

• Displaying filters

• Displaying facet counts.

Add the ability to generate and stock keys.

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• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Deploy your MeiliSearch instances on GCP.

Do not hesitate to let us know the regions you would like to see happen as soon as possible.

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• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Allow users to retrieve dumps and then create a project from a dump.

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• Who are you? What is your business, your industry, and your use case?

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• How are you handling the situation today without this feature present?

We're considering adding a new feature to Meilisearch Cloud that we think will greatly benefit our users: SAML/SSO authentication! With SAML/SSO, you would be able to use your existing identity provider to authenticate and manage access to Meilisearch Cloud, making it easier to manage your users and improve security.

Here's what SAML/SSO could bring to Meilisearch Cloud users:

• Simplify user management: With SAML/SSO, you would be able to manage your users in one place, using your existing identity provider. This would make it easier to add or remove users, and ensure that only authorized users have access to Meilisearch Cloud.

• Improve security: SAML/SSO provides a more secure way to authenticate users, using industry-standard protocols and encryption. This can help protect against unauthorized access and data breaches.

• Streamline access: With SAML/SSO, users would be able to access Meilisearch Cloud with just one click, without having to remember multiple usernames and passwords. This can save time and reduce the risk of password-related security issues.

We're always looking for ways to improve Meilisearch Cloud and make it even more useful for our users. With SAML/SSO, we believe that you would be able to manage your users more efficiently and keep your data more secure than ever before. Let us know what you think about this potential new feature!

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Create a list of plugins that will allow you to collect data to add to your project.

There can be several types of plugins, crawlers that can index a website, connections to databases (Firebase, Postgres, MongoDB), or to data management tools (CMS, CRM, E-commerce).

Depending on the technical possibilities the plugin could be called automatically, periodically, or called by hand with an API call.

If you are interested in this principle of plugins, we invite you to share with us the plugins that could be useful to you.

The Meilisearch Cloud Plugin Marketplace would offer plugins to enhance Meilisearch Cloud's functionality, including:

• Data collectors for syncing primary datastore

• Scrapers for gettign content from a website, blog, documentation, e-commerce website

• Integrations to services like Vercel, Netlify, Shopify and many more

• Data connectors for exporting search analytics and importing documnts metadata in order to rank results

• Transform plugins for transorming the content of the documents updated (e.g. translating documents)

• Other plugins such as spell checkers, autocomplete, and query suggestions

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Meilisearch Cloud would allow you to use your own Kubernetes infrastructure as a dataplane. By deploying Meilisearch in your Kubernetes cluster, you can take advantage of the scalability and reliability benefits of Kubernetes while still enjoying the simplicity and security of Meilisearch Cloud's control plane. Gain full control over your search infrastructure with Meilisearch Cloud's Kubernetes integration.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

HIPAA compliance refers to adherence to the Health Insurance Portability and Accountability Act (HIPAA) of 1996, a U.S. federal law that sets standards for protecting the privacy and security of individuals' health information. Entities that handle protected health information (PHI) must follow HIPAA regulations, which include:

1. Privacy Rule: Governs the use, disclosure, and protection of PHI.

2. Security Rule: Establishes administrative, physical, and technical safeguards to ensure the confidentiality, integrity, and availability of electronic PHI (e-PHI).

3. Breach Notification Rule: Requires covered entities and business associates to notify affected individuals, the Department of Health and Human Services (HHS), and sometimes the media, in case of a PHI breach.

4. Enforcement Rule: Outlines the penalties and procedures for investigating and resolving noncompliance.

Covered entities (healthcare providers, health plans, and healthcare clearinghouses) and their business associates must implement policies, procedures, and safeguards to maintain HIPAA compliance.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a MeiliSearch user? Are you interested in MeiliSearch Self-Hosted or MeiliSearch Cloud?

• Why do you need this feature and how can it enable you to move to MeiliSearch?

• How are you handling the situation today without this feature present?

We would love to add a feature to our product that would automatically create a snapshot of your project, allowing you to revert to an older snapshot if needed. This would be a great way to ensure that you have a backup of your project in case of any unexpected changes or errors. Having this feature would make it easier to keep your project up to date and ensure that you don’t lose any important information.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

We envision a feature that would allow companies to create environments for their projects and indexes in the cloud. This would provide a streamlined workflow for managing multiple environments such as production, staging, and development. Using this feature, companies would be able to easily manage and keep track of their various environments in one place.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

We would love to add a feature in the future that would allow users to have their own custom domain for their projects. This would give users the ability to customize their projects and make them even more unique. It would also make it easier for users to share their projects with others and make them more accessible. We hope that this feature would be a great addition to our product and make it even more valuable to our users.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Get the ability to duplicate an index.

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• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Visualize the number of unique searchers per geographic area

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• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

It would provide a personalized experience by recommending similar documents based on their content and custom rules and settings preconfigured. This would enable customers to quickly and easily find the documents they need, saving them time and effort.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

MeiliSearch scale pretty well, but we are still limited on the number of documents we can process. The goal of this feature is to enable MeiliSearch to shard these data and requests on multiple servers.

Sharding is a method of splitting and storing a single logical dataset in multiple databases.

 By distributing the data among multiple machines, a cluster of database systems can store larger datasets and handle additional requests. Sharding is necessary if a dataset is too large to be stored in a single database. Moreover, many sharding strategies allow additional machines to be added. Sharding allows a database cluster to scale along with its data and traffic growth.

To do this feature we need to have High Availability before.

Allow filtering on string base on a prefix. director="Tim*", will match Tim Burton but also Tim Miller.

On a search with one or multiples words in the query. The user can choose if each word can be searched as a prefix or not.

I propose 3 possibilities:

• None => No Prefix, Never!

• Last => Consider that only the last word can be a prefix

• All => Consider that all words in the query can be a prefix

Personalization is a simple word that hides a very complex feature. There are many things behind personalization.

First of all, personalization means user identification. It is necessary to know at the time of the search who is doing the query. This does not pass a unique identifier given by the client/integration.

Once we know the user, we need to be able to classify him. This is done thanks to the data available in the index. And the latest queries/click/views from the user.

Finally, we have to filter/rank in the best possible way so that there is the least need for configuration to start using the feature.

This feature would allow users to assign weights to fields in Meilisearch, improving search accuracy and relevance. By customizing the weights assigned to each field, users would be able to better reflect the relative importance of the data and simplify the configuration process.

Today we already have a kind of fields weight by ordering the fields on the searchableAttributes. What doesn't work for you with this existing feature and what would be the difference with Field Weighting.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

MeiliSearch logs are by default presented to the user in stdout. Using system capabilities, it is possible to access those logs in several other ways, but it would be interesting to have the possibility to provide a path to a file where the user wants MeiliSearch to store logs permanently.

An example would be a --log-file=<path-to-log-file>

./meilisearch --log-file="/tmp/meili_logs.log"

When a dump is performed, push it on S3. The credentials should be given on the environment variables.

Allow filtering documents being located or not within a Polygon shape.

The Meilisearch CLI is a powerful tool that allows users to manage Meilisearch instances and perform essential search operations through a convenient and efficient command-line interface. The CLI includes the following features and commands:

• Launch Meilisearch as a daemon

• Create a replicas

• Self-update the engine

• Create an index

• Add documents to an index

• Search for documents in an index

• Get the status of an index

• Change the settings of an index

• Get the version of Meilisearch

These features and commands provide users with the essential tools for managing Meilisearch instances and performing core search operations, streamlining the search engine management process and enabling users to focus on delivering the best possible search experience to their users.

Github Discussion:

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Provide the most common stop words for each language. It could be deactivated.

Meilisearch would support natural language filtering and sorting, allowing users to filter and sort search results using everyday language. This feature would enhance the search experience by enabling users to filter and sort results in a more intuitive way, without having to learn complex filtering and sorting syntax.

How it Works

Meilisearch's natural language filtering and sorting would use machine learning algorithms to interpret user queries and generate relevant search results. The system would analyze the context and intent behind the query to understand what the user is looking for and generate results accordingly. This feature would also support synonyms, misspellings, and other variations of search terms to provide more accurate and comprehensive results.

Use Cases

• E-commerce websites: users could filter and sort products using natural language queries, such as "black dresses under $100 sorted by price"

• Job boards: users could filter and sort job listings using natural language queries, such as "remote software engineer jobs in San Francisco sorted by date posted"

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Scored filters is a feature that would ranks search results based on how well they match a set of filters. It would applies numerical settings to filter values, making some filter values more important than others. The records with the highest filter values would be ranked at the top of the results list.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

The problem when using a replicated or HA database is that updates can potentially be slow. They are slow because they must be done sequentially to ensure the ACID property of the database.

However, it is possible that the user may need to update data very, very often (several times per minute or second). Some examples. A social network wants to be able to update the number of like items very often. An e-commerce site may want to update the stock to display or not display an item.

To allow high-frequency updates, we need to remove some of the consistency from the indexes. This can be done without impacting the rest if we only remove consistency in fields that we know are updated very often.

The proposal here is to have a specific route for updating meta-data. This route remains to be defined. Once an update is received, it would go to a different update queue than the document updates. It would have priority. The content of these updates could not be used for indexing, but only for ranking and display: no parsing, no tokenization, no computation on fields.

Add a route that allows the download of a dump stored in the server.

Add a sorting capability to the documents/fetch route.

If you're interested in this feature, please leave us a comment below by answering these questions:

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• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Meilisearch's scoring function allows users to bring custom logic inside the search engine by creating a function that has access to the indexes data in order to calculate a score. This feature offers a high degree of flexibility and control over how search results are ranked and returned.

With the scoring function, users can define their own ranking algorithm based on any criteria they choose, such as the relevance of the search term to the document, the popularity of the document, or any other factors that may be relevant to their specific use case. This can be particularly useful for applications that require more complex ranking algorithms or for cases where the default ranking algorithm may not be suitable.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

RBAC stands for Role-Based Access Control, a method of restricting access to resources based on the roles of users or groups within an organization.

Embedding RBAC in Meilisearch would allow for more granular control over access to documents for different users or groups. By assigning roles to users, such as “admin” or “viewer”, and defining permissions for each role, access to documents can be restricted or granted based on the user’s role. This can help ensure that sensitive information is only accessible to authorized users while also allowing for collaboration and sharing of information within an organization.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Currently, we can only use custom ranking rules the ascendant and descendant methods.

• It could be useful to rank by proximity with a number. e.g. Sort by proximity with 5 as a parameter. [0, 1, 2, 3, 4 ,5, 6, 7, 8, 9] => [5, 4, 6, 3, 7, 2, 8, 1, 9, 0]

• It could be useful to rank by proximity with a number tuple. e.g. Sort by proximity with (3, 8) as a parameter. [0, 1, 2, 3, 4 ,5, 6, 7, 8, 9] => [3, 4, 5, 6, 7, 8, 2, 9, 1, 0]

Sort by proximity with (8, 3) as a parameter. [0, 1, 2, 3, 4 ,5, 6, 7, 8, 9] => [8, 7, 6, 5, 4, 3, 9, 2, 1, 0]

This feature adds a GraphQL endpoint to Meilisearch, allowing users to search their indexes using GraphQL queries. The endpoint provides a flexible and powerful way to perform search operations, enabling users to easily retrieve and filter search results. By using GraphQL, Meilisearch can optimize queries to reduce the number of requests and improve response times. Additionally, the endpoint can be extended to add custom functionality or integrate with other services.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

If multiple objects are matching in a nested array of a document, show which ones are the most relevant.

This is similar to showMatchesPosition but the index of the object in the array would be returned instead of the index of the string.

Optional filters would allow you to apply filters to your search results without excluding records that don't match the filter values. This means that records that match the filter values will be given a higher relevance score, but records that don't match the filter values will still be included in the search results. It's a way to give more weight or priority to certain records without completely excluding others.

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• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

This feature adds webhook support to Meilisearch, allowing users to receive real-time notifications about events in the search engine, such as task updates and index changes. Webhook support enables users to monitor Meilisearch more effectively, automate workflows, and streamline their search operations.

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• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

API Key domain restriction is a way to limit the usage of a specific API key to a predefined list of domains or IP addresses. This security measure helps prevent unauthorized access to your Meilisearch instance by ensuring that API requests are only accepted from trusted sources. By implementing domain restrictions, you would be able to protect your search data and maintain control over who can access your Meilisearch service.

Github Discussion:

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• How are you handling the situation today without this feature present?

The percolator feature allows you to make a reverse search. Search queries are stored as documents in their own index. The

percolatequery can be used to match queries stored in an index. The

percolatequery itself contains the document that will be used as query to match with the stored queries. You can then percolate new call documents and retrieve matching search queries.

One use case to use the percolator is document classification. For example, given a new document, you can do a reverse search to get all the queries that match the document and tag it.

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• How are you handling the situation today without this feature present?

By automatically detecting patterns in user documents and proposing optimal configurations for indexing them, Meilisearch can simplify the indexing process and reduce the amount of manual work required from users. This feature would also improve search accuracy and relevance, resulting in more accurate and relevant search results. Additionally, by automating the configuration process, users can save time and resources, allowing them to focus on other tasks.

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• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

The Meilisearch self-update feature allows users to trigger an update of the search engine with a single request, streamlining the update process and ensuring that users always have access to the latest improvements and bug fixes.

In the first version of the self-update feature, the update process may require a short downtime while the new version of Meilisearch is installed. However, once the update is complete, Meilisearch will resume serving search queries seamlessly, without any impact on search performance or results.

In the second version of the self-update feature, Meilisearch will be able to update itself without any downtime, providing users with an even more convenient way to keep their search engine up-to-date.

Github Discussion:

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• How are you handling the situation today without this feature present?

API Keys Rate Limit would allow to set a maximum number of API requests allowed within a specific time frame for a given API key. This mechanism would be used to control the usage of Meilisearch resources, prevent abuse, and ensure fair distribution of resources among en users. By implementing rate limits, Meilisearch can maintain optimal performance and provide a reliable service.

Github Discussion: https://github.com/meilisearch/product/issues/161

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• How are you handling the situation today without this feature present?

Automatic document identifier generation in Meilisearch would be useful in use cases where the search index is erased at each update, such as website scraping. By automatically generating document identifiers, users can simplify the indexing process, reduce the risk of errors, and focus on the content of their documents rather than on administrative tasks. This feature would improve the accuracy and completeness of search results and increase flexibility in adapting to changes in data sources.

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• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Several possibilities that we can imagine:

• Display a % completion of a task resource being processed

• Display a remaining time of a task resource being processed

• Exposing WebSockets with which clients can communicate.

• Give the possibility to the user to parameterize a webhook to which MeiliSearch communicates the status of an update.

A simple and effective way to synchronize your Supabase with Meilisearch.

Looking to enhance the search experience of your website or application? Look no further than a simple command palette powered by Meilisearch search. By integrating this feature with just one line of JavaScript, you can offer your users a highly efficient and user-friendly search functionality. With the command palette (cmd-k), users can easily access a variety of search options, all powered by the advanced search capabilities of Meilisearch. This feature has the potential to revolutionize the way users interact with your website or application, providing them with a modern, streamlined search experience that will keep them engaged and satisfied. Say goodbye to clunky, outdated search functions and hello to a new era of search with Meilisearch-powered search.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Create a UI search kit for iOS

Connect your Next.js application to a Meilisearch index.

Create an integration for Remix projects

Create an Integration with the FastAPI framework.

Create an integration with the Phoenix framework.

A plugin for the Svelte frontend library

Get document updates from Kafka.

If you're interested in this feature, please leave us a comment below by answering these questions:

• Who are you? What is your business, your industry, and your use case?

• Are you already a Meilisearch user? Are you interested in Meilisearch Self-Hosted or Meilisearch Cloud?

• Why do you need this feature and how can it enable you to move to Meilisearch?

• How are you handling the situation today without this feature present?

Connect your NuxtJs application to a Meilisearch index.

Create an Integration with the Adonis framework.