Build document search that finds useful context.
What it does
Guides implementation of retrieval-augmented generation systems that select relevant document context for language models.
When to use it
Use when working on retrieval-augmented generation, vector search, embeddings, or semantic search.
How to use it
It changes how the agent implements document retrieval by favoring semantic chunking, hybrid search, and relevance reranking.
What you provide
- An existing project
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