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Show HN: Superlinked – Vector Embeddings for Structured and Unstructured Data

7 pointsby supo6 months ago
Hi HN, I&#x27;m Daniel from Superlinked!<p>We have built an open-source framework that improves vector search relevance and usefulness by combining structured metadata with unstructured data in your embeddings. We included self-hostable API server that sits between your data sources and vector database. Docs: <a href="https:&#x2F;&#x2F;docs.superlinked.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;docs.superlinked.com&#x2F;</a><p>We&#x27;re launching our cloud offering soon where you can use Superlinked to orchestrate high-performance retrieval for RAG, Search &amp; Recommendation apps in your own cloud.<p>Looking for feedback and happy to answer questions!

3 comments

paoloap6 months ago
What are the supported vector databases and data sources? How seamless is the integration with popular vector databases like Pinecone, Faiss, or Weaviate?
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paoloap6 months ago
How well does it perform outside of text, say images, pdfs, or metadata?
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borabora46 months ago
Sounds interesting! Do you have any case studies to share?
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