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6.5 Memory and Agentic RAG

Role at Stage 6: AI Agents

Manage short-term state, long-term memory, retrieval, summarization, and forgetting. This part is one capability inside the stage. It should leave behind an artifact, measurements, and a short explanation of failure modes.

Explanation

This part has 4 sub-parts because the topic needs that many learning units to feel natural. Some stages have more parts and some have fewer; the structure follows the topic, not a fixed template.

Part Diagram

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flowchart LR
  P["<b>6.5</b><br/>Memory and Agentic RAG"]
  P --> S1["<b>6.5.1</b><br/>Working Memory"]
  P --> S2["<b>6.5.2</b><br/>Long Term Memory Types"]
  P --> S3["<b>6.5.3</b><br/>Retrieval as a Tool"]
  P --> S4["<b>6.5.4</b><br/>Summarization<br/>Compression and<br/>Forgetting"]
  P --> E["<b>Exam</b><br/>Part practice"]

Sub-Parts

Sub-part folder What it explains
6.5.1 Working Memory Working Memory is the working skill inside Memory and Agentic RAG that helps you build the stage artifact, A tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture README, while collecting enough evidence to trust the result.
6.5.2 Long Term Memory Types Long Term Memory Types is the working skill inside Memory and Agentic RAG that helps you build the stage artifact, A tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture README, while collecting enough evidence to trust the result.
6.5.3 Retrieval as a Tool Retrieval as a Tool is the working skill inside Memory and Agentic RAG that helps you build the stage artifact, A tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture README, while collecting enough evidence to trust the result.
6.5.4 Summarization Compression and Forgetting Summarization Compression and Forgetting is the working skill inside Memory and Agentic RAG that helps you build the stage artifact, A tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture README, while collecting enough evidence to trust the result.

What a Person Who Masters This Part Can Do

  • Explain how Memory and Agentic RAG supports a tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture readme..
  • Build and inspect this artifact: Build an agent with retrieval and selective memory.
  • Measure progress with: Track retrieval quality, memory precision, stale memory, and context size.
  • Debug at least one failure mode before moving to the next part.

Build and Measure

Build: Build an agent with retrieval and selective memory.

Measure: Track retrieval quality, memory precision, stale memory, and context size.

Tests

Take one 30-question exam after studying this part. It opens in a new browser tab so the study page stays available.

Open Part Exam

Back to Stage

Return to Stage 6: AI Agents.