Category: Vector Database

  • Enterprise-Grade RAG on Azure

    Enterprise-Grade RAG on Azure

    โœ๏ธ ๐๐ฒ ๐€๐›๐ก๐ข๐ฌ๐ก๐ž๐ค ๐Š๐ฎ๐ฆ๐š๐ซ | #๐…๐ข๐ซ๐ฌ๐ญ๐‚๐ซ๐š๐ณ๐ฒ๐ƒ๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ โญ Why Every Enterprise Needs RAG Today Modern enterprises generate massive unstructured data: Technical PDFs SOPs, Work Instructions Product specification sheets Safety & compliance documents ERP/PLM extracts Regulatory & MSDS documents Knowledge Base / Confluence pages Most of this data remains locked, making organizations slow, dependent on SMEs, error-prone,…

  • How Search Works in Vector Databases โ€“ From โ€œTop Gunโ€ to โ€œMaverickโ€

    How Search Works in Vector Databases โ€“ From โ€œTop Gunโ€ to โ€œMaverickโ€

    โœ๏ธ ๐๐ฒ ๐€๐›๐ก๐ข๐ฌ๐ก๐ž๐ค ๐Š๐ฎ๐ฆ๐š๐ซ | #๐…๐ข๐ซ๐ฌ๐ญ๐‚๐ซ๐š๐ณ๐ฒ๐ƒ๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ ๐Ÿง  Why Do We Need Vector Databases? Traditional databases store structured data (rows & columns) and perform keyword or pattern matching.But AI systems donโ€™t think in keywords โ€” they think in meanings. For example: Searching โ€œTop Gunโ€ in SQL might return only exact word matches. A vector database, however,…