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    26.2 -What is Memory in AI and Agents
    4:21
    26.5 -Long-Term Memory – Persistent Knowledge
    3:34
    26.7 -Episodic Memory in AI Workflows
    2:01
    26.8 -Semantic Memory for General Knowledge
    0:47
    26.6 -Factual Memory for AI Agents
    1:55
    26.9 -Mem0 Setup with Python for AI Memory Layer
    1:42
    26.10 -Mem0 Configuration with Python for Agents
    3:32
    26.11 -Vector Database Setup with Docker for Memory
    0:51
    26.4 -Short-Term Memory – Handling Context Windows
    5:45
    26.12 -Using Vector Databases for AI Agent Memory
    10:14
    24.9 -Conditional Edges & Smart Routing
    11:50
    24.8 -Integrating AI LLMs into LangGraph
    2:40
    22.2 -Introduction to Queues System Design for Async Setup
    2:53
    22.3 -Setting up Redis and Valkey with Docker
    2:09
    22.4 -Python RQ Setup Distributed Queues
    2:15
    22.5 -Worker Orchestration with Python RQ
    4:00
    22.6 -FastAPI Endpoints setup for chat Queue
    2:25
    22.7 -Asynchronous Message Enqueueing with FastAPI
    4:28
    22.8 -FastAPI Polling & Dequeuing Messages from Async Queues
    2:23
    23.2 -Sending Multimedia to LLM (Images)
    5:21