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Vector DBFreemiumOpen Source
MANTICORE SEARCH
Open-source search database with full-text, vector, and hybrid search
GPL-3.0
ABOUT
Many AI applications need both full-text and vector search, requiring separate systems like Elasticsearch for text and Pinecone for vectors, increasing operational complexity. Manticore Search solves this by combining full-text, vector, and hybrid search in a single SQL-based database with real-time indexing — delivering Elasticsearch-style capabilities with lower resource usage and simpler deployment.
INSTALL
docker run -p 9306:9306 -p 9308:9308 manticoresearch/manticoreINTEGRATION GUIDE
1. Build a hybrid search engine that blends BM25 full-text ranking with vector similarity scores
2. Create a real-time product catalog with semantic search that updates as inventory changes
3. Implement a log analysis platform that searches both text patterns and embedding vectors in one query
4. Power a recommendation system combining keyword matching with semantic similarity for content discovery
5. Develop a document search application with full-text precision, vector-based fuzzy matching, and SQL filtering
TAGS
search-databasefull-text-searchvector-searchhybrid-searchsqlreal-timeelasticsearch-alternativedocker