// practitioner toolkit

Resources

Tools, references, and further reading for people who implement AI-search strategy.

From the Network

GitHub Gists

Open-source code snippets, configuration references, and implementation examples.

// gist reference
source = "github.com/NovCog"
type = "series-index"
entries = 25
format = "structured markdown"
fetch(gist_id) // always current

RAG Glossary

Retrieval-Augmented Generation is the single most important pattern for AI-search practitioners. The RAG concept entry covers the fundamentals. For a comprehensive glossary of RAG-specific terminology, check the resources in the community group.

Key concepts that feed into RAG understanding: embeddings, semantic search, grounding, hallucination, and knowledge graphs.

Further Reading

Extended analysis and implementation guides from across the network.

Need Something Specific?

The community is the best place to ask questions, request resources, and find collaborators.

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