RAG Data Management

RAG Data Management

When compiling data for a RAG implementation, you do have to go to some lengths to make sure your database of content has the data in it to answer questions. But it does not need to be a great number of samples. In fact, even a single hit with one chunk of data is enough for the LLM to form an answer. With any RAG, if you search in the text-based index or the vector index and do not get good hits, it will produce poor results. Also, unlike FT data, RAG does not require question and answer type content, but only documents that can be searched.

The data is very important to a successful RAG project. RAG systems are not much different conceptually to searching Google for your own data. At the end, you have something that can produce eloquent writing better than 90% of the population.

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