We're stoked to see Rerank doing its magic in Albus's hybrid search approach setup. Semantic + keyword search is a powerful combo.
@cohere
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Multilingual Embeddings Enable Cross-Lingual Search Applications
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Want to ask a question in Spanish but get English search results? With our multilingual embedding models, you can build cross-lingual search applications. With cross-lingual search, the languages of the query and the results don't have to be the same. For example, a Spanish
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Major AI Company Secures Funding from Global Institutional Investors
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Of course, we wouldn’t be in this position without our incredible team, and the support of a diverse group of global institutional and strategic investors. @inovia
, @nvidia
, @Oracle
, @SalesforceVC
, @dtcp_capital
, @miraeasset
, @SchrodersUS
, @SentinelOne
, @thomvest
, @IndexVentures -
Cohere Secures Funding to Expand Generative AI for Enterprises
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Today, we’re excited to announce new funding to help us bring generative AI to enterprises around the globe. AI will be the heart that powers the next decade of business success, and Cohere is ready to lead the way.
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Sentence Similarity: Embeddings and Cosine Distance Explained
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Check out this blog post by Luis Serrano on sentence similarity! He dives into the importance of embeddings in large language models & explains dot product and cosine similarity. Add some excitement to your tech reads! Read more:
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Semantic Search on arXiv Dataset: Beyond Lexical Approaches
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4/ Showcasing semantic search on the arXiv dataset, containing 5k scholarly articles. The search results highlight the advantages of semantic search over traditional lexical and fuzzy approaches, especially when searching complex academic content.
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Semantic Search Power with OpenSearch and Cohere Embeddings
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5/ Try it out to experience the power of semantic search firsthand. With OpenSearch's scalability and Cohere's high-quality embeddings, the potential for improved text search is boundless. https://
dashboard.cohere.ai/welcome/regist
er
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OpenSearch Tutorial: Document Embedding and Semantic Search
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3/ The tutorial includes step-by-step instructions to set up an OpenSearch instance, embed documents using Cohere, create an index for your documents, and query similar documents using Cohere embeddings.
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Semantic Search Implementation with OpenSearch and Cohere
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1/ Nabila Abraham introduces a detailed guide on implementing semantic search using OpenSearch and Cohere, a powerful combination for searching large data sets. Follow the link for a comprehensive demo:
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OpenSearch Vector Search Leverages Cohere Embeddings for Enhanced Relevance
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2/ The demo demonstrates how to leverage OpenSearch's support for vector search and Cohere’s high-quality embeddings to improve text search capabilities. This brings more context and relevance to search results than traditional keyword-based methods.