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Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/Pricing:
- Open Source
- Freemium
- Free Trial
It's mostly Rust with a sprinkling of python for some of the ML stuff. The transcription is done via whisper (https://github.com/ggerganov/whisper.cpp) and the search is handle via standard lexical search (https://github.com/quickwit-oss/tantivy) combined with a vector database (https://qdrant.tech) to find relevant pieces of content.
#Databases #Machine Learning #Mlops 38 social mentions
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๐ On average 2x faster than Lucene ๐ Full-text search โ๏ธ Configurable tokenizer (stemming available for 17 languages) ๐ Tiny startup time (<10ms) โจ๏ธ Natural and Phrase Queries ไทด Range Queries ๐ Incremental Indexing ๐จ Multi-threaded Indexing ๐ฉ JSON Fโฆ
It's mostly Rust with a sprinkling of python for some of the ML stuff. The transcription is done via whisper (https://github.com/ggerganov/whisper.cpp) and the search is handle via standard lexical search (https://github.com/quickwit-oss/tantivy) combined with a vector database (https://qdrant.tech) to find relevant pieces of content.
#Open Source #Search Engine #Tech 26 social mentions