Category: FAISS

  • 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: Most of this data remains locked, making organizations slow, dependent on SMEs, error-prone, and high-cost. A Retrieval-Augmented Generation (RAG) system solves this by: Azure provides the most robust platform to build secure, compliant, scalable enterprise RAG.…

  • Agentic Systems vs MCP Systems

    Agentic Systems vs MCP Systems

    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 Clear Differences, Use Cases, and When to Choose What ๐Ÿง  1. What is an Enterprise Agentic System? An Agentic System is an AI setup where the LLM behaves like an intelligent worker (an โ€œagentโ€) that can: It focuses on autonomy and orchestration of tasks using LLM intelligence. Enterprise Agentic…

  • 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: Thatโ€™s why modern AI systems like ChatGPT, RAG pipelines, and semantic search engines rely on…