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  • AgenticAI, ai, AIAgents, AIArchitecture, DataGovernance, EnterpriseAI, Framework, MCP, rag

    TubeScript AI – Transcript AI Pipeline with FastAPI, Serp API MCP, Kafka, PostgreSQL, Next.js and Kubernetes

    # Building a YouTube Transcript Service for AI Workloads YouTube has a lot of useful knowledge: tutorials, product demos, engineering talks, lectures, interviews, and training videos. But AI applications cannot use that knowledge directly from the video player. They need transcripts. More importantly, they need transcripts in a consistent structure: – Video metadata – Transcript…

    Muthu
  • Uncategorized

    Building AuthCore: A Modern User Management Platform with Keycloak, React, NestJS, and RBAC

    Muthu
  • ai, AIArchitecture, Data Platform, DataGovernance, EnterpriseAI, GenAI, LLMOps, MCP, NL2SQL

    Natural language to SQL at enterprise scale: a governed API—and how MCP fits beside it

    Muthu
  • AgenticAI, ai, DataPipeline, GraphDB, VectorDB

    GraphFusion AI: Building an Intent-Aware Hybrid RAG with OpenSearch (Vectors) + Neo4j (Graph) + LlamaIndex (Ingestion) + FastAPI

    Muthu
  • Uncategorized

    Evolving Pure Vector RAG into Graph-Aware Retrieval: A Practical Path for Existing Pipelines

    Muthu

Trending

  • AgenticAI, ai, AIAgents, AIArchitecture, DataGovernance, EnterpriseAI, Framework, MCP, rag

    TubeScript AI – Transcript AI Pipeline with FastAPI, Serp API MCP, Kafka, PostgreSQL, Next.js and Kubernetes

    Muthu
  • Uncategorized

    Building AuthCore: A Modern User Management Platform with Keycloak, React, NestJS, and RBAC

    Muthu
  • ai, AIArchitecture, Data Platform, DataGovernance, EnterpriseAI, GenAI, LLMOps, MCP, NL2SQL

    Natural language to SQL at enterprise scale: a governed API—and how MCP fits beside it

    Muthu
  • AgenticAI, ai, DataPipeline, GraphDB, VectorDB

    GraphFusion AI: Building an Intent-Aware Hybrid RAG with OpenSearch (Vectors) + Neo4j (Graph) + LlamaIndex (Ingestion) + FastAPI

    Muthu

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