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In a standard RAG pipeline, the first 2 steps usually involve 'Storage' and 'Retrieval' -
Storage - Load data from a source --> split data into chunks --> create embeddings --> Store in a data store(Vector DB)
Retrieval - On a given query, retrieve chunks from the data store
The performance of the retrieval process should depend on the following parameters -
creating chunks in accordance to source data
type of embedding model used
retrieval mechanism used in the vector db
Using a single data source - 'muenchen-en', show results of how/whether performance varies on manipulating these parameters, and formulate an acceptable success criteria.
The text was updated successfully, but these errors were encountered:
In a standard RAG pipeline, the first 2 steps usually involve 'Storage' and 'Retrieval' -
The performance of the retrieval process should depend on the following parameters -
Using a single data source - 'muenchen-en', show results of how/whether performance varies on manipulating these parameters, and formulate an acceptable success criteria.
The text was updated successfully, but these errors were encountered: