Add cookbook: Governed RAG pipeline with TealTiger governance guardrails

[nagasatish007]

Adds a cookbook demonstrating how to add deterministic governance guardrails to a Haystack RAG pipeline using TealTiger.

What the cookbook covers:

• Building a standard RAG pipeline (document store + retriever + LLM generator)
• Adding TealTigerGovernanceChecker as a pipeline component
• PII detection in queries before they reach the LLM
• Cost budget enforcement (deny requests once budget is exceeded)
• Secret detection in generated responses
• Structured audit trail (TEEC receipts for every governance decision)
• Three governance modes: ENFORCE (block), MONITOR (log only), OBSERVE (passthrough)

Integration page: https://haystack.deepset.ai/integrations/tealtiger
Package: pip install haystack-tealtiger

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[nagasatish007]

@kacperlukawski — thanks for merging the integration docs update yesterday. Following up with a cookbook contribution to deepset-ai/haystack-cookbook:

PR: deepset-ai/haystack-integrations#561

It's a "Governed RAG Pipeline with TealTiger" notebook showing how to add PII detection, cost budgets, and audit trails to a standard Haystack RAG pipeline using the haystack-tealtiger package. Covers all three governance modes (ENFORCE/MONITOR/OBSERVE) with a worked example.

Would appreciate a look when you get a chance.