Agentic Blueprints 7

Retrieval that doesn't trust its first search: it grades the results, rewrites the query when they're weak, and only answers once the context is good.

A failed data job triggers three probes in parallel, then a fixer and verifier loop on a patch until it passes a dry run — and open a PR.

Runs your health queries on a schedule, compares against normal ranges, and posts to Slack with enough context to know if it actually matters.

Corrective RAG

io.github.langchain-ai/corrective-rag

LangGraph

Grades retrieved documents for relevance and, when they fail the grade, falls back to web search before answering.

SQL Agent

io.github.langchain-ai/sql-agent-tutorial

LangGraph

An agent that explores a database's schema, writes a query, double-checks it with a dedicated checker step, and recovers from execution errors.

Reflexion

io.github.langchain-ai/reflexion

LangGraph

An answerer that critiques itself with citations: draft, self-review for missing and superfluous content, search to fill gaps, revise.

Adaptive RAG

io.github.langchain-ai/adaptive-rag

LangGraph

Routes each question to the right retrieval strategy, grades what comes back, and falls back to web search when the index can't answer.