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QLever's fulltext search is exposed through SPARQL only. This is intentional. If you are looking for something like an OpenSearch-style API, it might help to clarify what exactly you are trying to achieve. If SPARQL is a barrier for your users, the typical approach is to build an abstraction layer or UI on top that generates the necessary SPARQL queries behind the scenes. Otherwise, depending on your needs, another tool might be more suitable. For example, I had looked at Meilisearch in the past before I knew about QLever, as a lightweight alternative to OpenSearch. I see they have since moved heavily in the direction of AI and vector search, so I am not sure how approachable it still is for more structured RDF-style use cases. |
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Hi all,
I've been reading up on Qlever as much as possible for possible use in a free text search engine based on RDF data, and I am unsure if Qlever is capable. I saw the documentation here https://github.com/ad-freiburg/QLever/blob/master/docs/sparql_plus_text.md but it reads as though everything still needs to be formatted/wrapped in SPARQL. Is it possible to have full text/ text based semantic search that could be exposed to users in a Ui?
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