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    22.7 -Asynchronous Message Enqueueing with FastAPI
    4:28
    22.6 -FastAPI Endpoints setup for chat Queue
    2:25
    22.5 -Worker Orchestration with Python RQ
    4:00
    22.4 -Python RQ Setup Distributed Queues
    2:15
    22.3 -Setting up Redis and Valkey with Docker
    2:09
    22.2 -Introduction to Queues System Design for Async Setup
    2:53
    22.1 -Sync vs Async in RAG Architectures
    2:42
    21.11 -LangChain-Powered RAG Retrieval Execution
    9:11
    21.10 -LangChain Vector Store as Retrievers
    6:08
    21.3 -Naive Retrieval-Based Solution Approach
    4:49
    21.2 -Defining the Core Problem in RAG Systems
    4:12
    21.4 -RAG Pipeline – Indexing Workflow Explained
    5:22
    21.5 -RAG Pipeline – Retrieval Mechanism in Depth
    5:36
    21.7 -LangChain Installation & Setup
    3:08
    21.8 -LangChain Document Loaders for PDF
    3:38
    21.6 -Local Vector DB Setup with Docker Compose
    4:43
    21.9 -LangChain Document Chunking & Splitting
    3:20
    21.1 -Intro to RAG & LangChain – Section Overview
    0:45
    20.2 -What Exactly Are AI Agents (Core Concepts)
    10:08
    20.4 -Enforcing Structured Outputs with Pydantic
    7:34
    20.3 -Coding Your First AI Agent
    22:37
    20.5 -Building a CLI Coding Agent (Claude Code) from Scratch
    9:50
    19.4 -Installing and Using Hugging Face CLI Tools
    2:37
    19.5 -Model Downloading & Execution from HF Hub
    2:48
    18.4 -Configuring OpenWebUI with Ollama Backend
    7:24