Context summarization and memory retrieval

Overview

• Summarization compresses earlier interaction into a shorter record.
• Memory retrieval selects relevant stored entries, sometimes through vectors and metadata.
• Both reduce context volume but can lose or distort information.

Why this matters

Long histories exceed budgets and contain unrelated details.

An everyday example

A handover note highlights key decisions instead of replaying every phone call.

A technical example

Keep confirmed facts, unresolved questions, and source IDs in separate fields; retrieve relevant past task outcomes for the current case.

How it works

1. Select eligible records
2. Summarize or retrieve
3. Preserve facts/provenance
4. Validate sensitive/high-impact fields
5. Merge with fresh tool data.

Architecture and flow

History/memory → scoped selection → summary/relevance filter → current context.

The insurance assistant example

The summary says an invoice was requested, while a current tool confirms whether it has now arrived.

When to use it

Long conversations and recurring tasks where selected continuity improves outcomes.

When to avoid it

Do not use an unverified summary as the only record of consent, amounts, or claim submission.

Interview answer

“I compress dialogue for context efficiency, preserve verified structured facts separately, and retrieve memory using both relevance and permissions.”

Benefits, trade-offs, and production considerations

• Evaluate summaries for lost conditions and invented facts.
• Use memory TTLs, confidence categories grounded in provenance, deletion propagation, and tenant/user filtering before retrieval.

flowchart TD
  R[Authenticated request] --> B[Context builder]
  H[Recent conversation] --> B
  S[Reviewed session summary] --> B
  M[Authorized profile and relevant memory] --> B
  T[Fresh business-tool results] --> B
  B --> L[Bounded model context]
  L --> V[Validate output and memory candidates]
  V --> W[Policy-controlled memory write]

• The context builder selects data; it does not grant access.
• Fresh tool results outrank stale conversational claims.
• Memory candidates are checked before writing, so an agent cannot turn arbitrary text into authoritative user facts.