Ishan - I love the passion! Re Spring, they put Solr Data in the Spring Data attic a while back so not surprised about its absence anywhere else...
https://spring.io/blog/2020/04/07/spring-data-for-apache-solr-discontinued. The advice for existing users was extra salt in the wound: >> For current users of Spring Data Solr, we recommend >> looking into alternative search-engine-related modules >> like Spring Data Elasticsearch. To be fair they did give warnings for years, there just wasn't enough interest. So if anyone finds the Spring Solr integrations useful that's definitely something to bring up here but also in the Spring project. It's one of those things that needs critical mass to get started Solr is maintained by a relatively small, yet passionate group of people. We need to spend our efforts wisely, balancing that what is intrinsically motivating (to avoid burnout) with what potential future contributors find engaging (to maximize leverage) From: dev@solr.apache.org At: 09/04/25 15:11:06 UTC-4:00To: us...@solr.apache.org Cc: dev@solr.apache.org Subject: Re: Solr 10 should be a big bang release Absolutely love this list , Ishaan. I recently evaluated and been using Spring AI for extending and enabling some of the mentioned features and was sad that there are no native integrations for Solr pretty much with any standard framework. There is a lot Solr needs to catch up on. Btw, Why do I not read anything 'agentic' in the list ;) -Atita On Thu, 4 Sept 2025, 20:43 Ishan Chattopadhyaya, <ichattopadhy...@gmail.com> wrote: > Hi All, > > Here's my wishlist for Solr 10, to make Solr claw back the lost/losing > mindshare amongst developers and AI practitioners. > > Here's what I think Solr 10 release should have (in addition to whatever we > already have): > > ** Vector Search / AI* > - GPU based HNSW indexing > - Local embeddings generation > - Multi-vector fields > - Visualization, metrics, recipes > - Easy integration with storage and inference platforms like Sagemaker, > Nemo, AWS S3 Vectors and everything else > - Stretch goal: Global vectors indexing support (like IVF family of > algorithms) > - First party MCP support > > ** General* > - Official client libraries in Python, Rust, Go, etc. > - Something akin to Kibana / OpenSearch dashboards > - A new modern UI with feature completeness > - Entries in every meaningful AI leaderboard out there, preferably at par > with other Lucene based search engines > - Tons of more examples and live demos > > > ** User experience *- Fix naming everywhere (if you know Solr, you know > what I mean) > - No confusion around various modes of Solr > - Clear documentation of the API > > We may be able to achieve these, or we might not be able to. If we work > towards these goals (or some of these), these should be achievable. We will > be in an excellent position with regard to earning back respect among the > community and placing it at par or above search and AI engines. Solr 10 is > a great time to hit these goals. > > If someone has ideas (no matter how crazy, hard, or exploratory) on what > else could be good to have, please help us with suggestions. > > Thanks and regards, > Ishan > > > [image: SearchScale] > *Ishan Chattopadhyaya* > *Search Consultant, SearchScale* > > is...@searchscale.com >
