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* [email protected]
