Advanced RAG with guided generation

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.

A standard RAG process typically runs a single vector search query and returns the closest matches. Those matches are then passed into a LLM prompt and used to limit the context and help ensure more factually correct answers are generated. This works well with most simple cases. More complex use cases, require a more advanced approach.

This article will demonstrate how constrained or guided generation …

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