Do haystack support farsi language ?

[vahidalvandi]

Do haystack support farsi language ?

[OwaisAzad]

@vahidalvandi Yes, Haystack, an open-source search framework, supports the Farsi language. You can use Haystack with a search backend that supports Farsi, such as Elasticsearch, to build search applications that work with Farsi language content.

To use Farsi with Haystack, you may need to configure your search backend to use the appropriate language analyzer or tokenizer for Farsi. For example, Elasticsearch provides built-in analyzers for Farsi that can be used with Haystack. Once you have set up your search backend, you can define your Haystack search index and query the index to search for Farsi language content.

[vahidalvandi]

According to my experience, elastic search is one of the heavy databases that we use as an alternative to meilisearch in other projects, because it runs with 250 MB of RAM and most of the features of elastic search, which requires 16 gigabytes.

Can melisearch be used instead of elastic search?

[OwaisAzad]

@vahidalvandi Yes, you can use MeiliSearch for the same purpose of Farsi language support instead of Elasticsearch. MeiliSearch supports various languages, including Farsi, and provides features like full-text search, typo-tolerance, stemming, and stop words removal out of the box.

To support Farsi in MeiliSearch, you can use its built-in language analyzer for Farsi, which can be configured by setting the stopWords and synonyms parameters for the language in the MeiliSearch index settings.

Note: MeiliSearch can be a good alternative to Elasticsearch for smaller search use cases where a lightweight search engine is needed, but you should carefully evaluate whether MeiliSearch meets your specific requirements before using it as a replacement for Elasticsearch. there are some limitations to MeiliSearch that you should be aware of. For example, MeiliSearch does not support distributed search or sharding, which means it may not be suitable for larger datasets that require high availability and scalability. MeiliSearch also does not support all of the same search features as Elasticsearch, so you may need to evaluate whether MeiliSearch meets your specific search requirements.

[vahidalvandi]

@OwaisAzad
Certainly, the use of a business for the service of answering the questions of its customers is not so big that it has a scale problem, and by the way, the low cost of the virtual server that it uses for this work is very important for it. Therefore, using meilisearch is a much more reasonable option than elasticseach.

In your opinion, how much RAM is needed for a small business to use elasticsearch, and how much RAM is needed for Haystack?

[OwaisAzad]

@vahidalvandi
For Elasticsearch, the recommended amount of RAM for a small business with a modest search workload is typically around 4-8GB. However, the actual amount of RAM needed may vary depending on several factors, including the size of the dataset, the complexity of the queries, and the number of concurrent users accessing the search system.

It's important to note that while it may be possible to run Elasticsearch or Haystack with less than the recommended amount of RAM, this can result in poor performance, slow queries, and other issues. It's generally a good idea to allocate sufficient RAM to your search system to ensure good performance and reliability.