RAG tutorials outline techniques for improving search
Published on October 15, 2024, the RAG_Techniques repository offers notebooks on reranking, chunking, filtering, and Graph RAG to explore retrieval-augmented generation approaches.
Source: Repositório GitHub de tutoriais sobre técnicas de RAG (github.com). Text prepared with AI from this source.
What happened and what to do
The GitHub repository RAG_Techniques, published on October 15, 2024, offers notebook tutorials on retrieval-augmented generation (RAG). Its techniques include reranking, chunking, filtering, and Graph RAG; engineers can use the examples to explore these approaches.
A company could apply these methods in a search prototype over its documents and compare result relevance against business-defined criteria. The work may include data preparation and monitoring, evaluation of techniques, and integration with internal systems, without assuming that one approach fits every case.
How the consultancy can help
Wendelmaques can diagnose a RAG search opportunity, define evaluation criteria and scope, and implement and operate a prototype integrated with the company’s data and systems.
Next step
Send a short description of your search or document-query case to receive a scoped proposal.
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