Multi-step prompt sequences for complex AI workflows.
76 tools found
Recover delta-channel state from Postgres-backed LangGraph threads for debugging and state inspection.
Staged agent workflow that converts database change requests into validated SQL with impact analysis, rollout plans, and traceability artifacts.
A fast-validating Qdrant embedding search fixture with a minimal local article set, derived from the Cookbook Qdrant search example.
Jupyter notebook demonstrating semantic search with OpenAI embeddings, LangChain's Oracle vector store, and Oracle AI Database Vector Search for RAG workflows.
A prompt workflow example that demonstrates how to evaluate and validate JSON output from language models, ensuring structured responses meet expected schema
A prompt chain workflow that validates SQL query generation by testing LLM-generated SQL against expected outputs, ensuring correctness before deployment.
Integration Tau is a runnable prompt workflow example from the promptfoo repository that demonstrates multi-step prompt chain execution and testing patterns.
A promptfoo example workflow that tests Databricks Foundation Model APIs, enabling developers to validate and benchmark LLM responses from Databricks models.
Provider Groq is a promptfoo example demonstrating how to configure and test Groq AI provider integration in prompt evaluation workflows.
Discover groupings in your data with K-means clustering.
Multi-step prompt workflow that uses embeddings and K-Means clustering to automatically group unlabeled transaction data, then generates human-readable cluster
Implement semantic code search with Ada embeddings to find functions in Python codebases using natural language queries.
