Week 77 — Retrieval fusion

LLM training, RAG, agents, and evaluation · Implement

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Phase 7 — LLM training, RAG, agents, and evaluation

Overview

BM25 + dense + reranker, RRF

Mode this week: implement. Match the work to that mode (operating model): implement ships running code; read/diagram ships a doc; deploy/benchmark ships a measured run. Personal dates, checkboxes, and the RPG layer stay in a learner journal.

Core deliverable

Fusion service

Optional depth

Add a production-shaped benchmark, cost or safety analysis, and an architecture trade-off note.

Week loop (from the cookiecutter journal)

Mon — Theory: BM25 + dense + reranker, RRF
Tue — Build: start the core deliverable above
Wed — Systems / papers: one paper or system note (see below if this week has assigned reading)
Thu — Eval / interview: write the four evidence items
Fri — Algorithmic Forge: Pattern detector or retrieval index; Week 81 string boss (45-120 min; Core / Supporting)

Forge theme: KMP, Aho–Corasick, trie retrieval, sequence DP, suffix-array survey

Leetcode Darbar (parallel)

This week's band (70-81): Strings, tries, graphs, sequence DP. Production connection: Tokenization, retrieval, agents, guardrails.

Standard: one aligned problem. Auror: the five-slot queue on the Darbar page. Tracker stays in the learner journal.

Topics: graphs · string · trie

All Paths From Source To Target · medium · graphs
Binary Tree Paths · easy · string
Word Search Ii · hard · trie

Agent papers

This week sits on the GenAI agents track. Read the assigned paper and connect it to the focus above.

Corrective RAG (CRAG) (arXiv 2401.06999) — Self-correcting retrieval loops
Kùzu: An Embedded Property Graph Database (Kùzu) — Architecture and performance of Kùzu

Evidence contract

Every core week records all four (cookiecutter journal/weeks/week_077.md):

Code / implementation (or the design artifact on a writing week)
Benchmark / result
Design doc / technical explanation
Retrospective / learning note (Sailboat: destination, wind, anchor, rocks, heading)

On this site

Official Tensor-to-Tenant

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