semantic-search-through
biggraph-wikidata-search-with-weaviate
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semantic-search-through | biggraph-wikidata-search-with-weaviate | |
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1 | 1 | |
- | 31 | |
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- | 1.8 | |
- | over 2 years ago | |
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- | MIT License |
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semantic-search-through
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Find anything fast with Google's vector search technology
* Wikipedia demo dataset: https://github.com/semi-technologies/semantic-search-through...
biggraph-wikidata-search-with-weaviate
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Find anything fast with Google's vector search technology
* Wikidata dataset: https://github.com/semi-technologies/biggraph-wikidata-searc...
Last week there was also a feature on Techcrunch about vector search and Weaviate:
What are some alternatives?
semantic-search-through-wikipedia-with-weaviate - Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
awesome-vector-search - Collections of vector search related libraries, service and research papers
sample-apps - Repository of sample applications for https://vespa.ai, the open big data serving engine
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
hnswlib - Header-only C++/python library for fast approximate nearest neighbors
biggraph-wikidata-searc