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Vector DBFreeOpen Source
APACHE SOLR
Multi-modal search platform with vector and full-text capabilities
Apache-2.0
ABOUT
Organizations need a single scalable platform that combines traditional full-text search with modern vector and semantic search across multi-modal data — text, embeddings, geospatial. Maintaining separate systems for lexical search and vector similarity doubles operational complexity and infrastructure costs. Solver solves this by providing hybrid search capabilities — lexical, vector, and geospatial — all through a unified RESTful API built on Lucene, eliminating the need to manage separate search and vector database systems.
INSTALL
docker pull solr
INTEGRATION GUIDE
1. Index documents with dense vector embeddings for semantic similarity retrieval alongside keyword search across large enterprise corpora
2. Store and query vector embeddings for retrieval-augmented generation pipelines, enabling AI agents to find relevant context via k-NN search
3. Power faceted e-commerce navigation, "more like this" recommendations, and visual similarity search using combined text and vector queries
4. Run geospatial-aware search over location-tagged content combined with semantic and keyword filters
TAGS
searchvector-databasefull-text-searchsemantic-searchluceneenterprise-searchinformation-retrievalgeospatial-search