Topic
Gc
Learn Gc as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts22 Articles7h 16m
Overview
Learn Gc as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Langchain
Llm
Python
Ai Agents
Learning Path in this Topic
Series that contain articles from Gc. Select a path to filter the article list.
Articles
22 matched articles
Article 1Spark Executor Sizing: Memory Model, Core Tuning, and GC StrategyTLDR: Spark executor OOMs are almost never caused by insufficient total cluster RAM — they are caused by misallocating memory across five distinct JVM regions while ignoring GC behavior and memoryOver37 minArticle 2LangChain Tools and Agents: The Classic Agent Loop🎯 Quick TLDR: The Classic Agent Loop
TLDR: LangChain's @tool decorator plus AgentExecutor give you a working tool-calling agent in about 30 lines of Python. The ReAct loop — Thought → Action → Obser21 minArticle 3LangChain RAG: Retrieval-Augmented Generation in Practice⚡ TLDR: RAG in 30 Seconds
TLDR: RAG (Retrieval-Augmented Generation) fixes the LLM knowledge-cutoff problem by fetching relevant documents at query time and injecting them as context. With LangChain 19 min
Article 4LangChain Memory: Conversation History and SummarizationTLDR: LLMs are stateless — every API call starts fresh. LangChain memory classes (Buffer, Window, Summary, SummaryBuffer) explicitly inject history into each call, and RunnableWithMessageHistory is th18 min
Article 5LangChain 101: Chains, Prompts, and LLM IntegrationTLDR: LangChain's LCEL pipe operator (|) wires prompts, models, and output parsers into composable chains — swap OpenAI for Anthropic or Ollama by changing one line without touching the rest of your c19 minArticle 6From LangChain to LangGraph: When Agents Need State MachinesTLDR: LangChain's AgentExecutor is a solid starting point — but it has five hard limits (no branching, no pause/resume, no parallelism, no human-in-the-loop, no crash recovery). LangGraph replaces the18 minPage 1 of 4