ABSTRACT
The growing need for efficient and scalable information retrieval
systems has driven the search for new approaches and architectures.
This work proposes the Serverless Information Retrieval Architecture
(SIRA) for information retrieval on a serverless computing
platform. The architecture is divided into two steps: document indexing,
which includes processing, metric extraction, and the creation
of inverted indexes; and document retrieval, which involves searching
for relevant documents, classifying the documents through
metrics, and presenting the results to the user. The performance of
the SIRA architecture is compared to Elastic Search (ELS) on the
TREC-COVID test collection. In addition to having the advantage
of consuming resources only on demand, the SIRA architecture
demonstrates more effectiveness in retrieving relevant documents,
indicating its potential as a solution in the field of information
retrieval.