Elasticsearch is a distributed search and analytics engine that can index and retrieve structured or unstructured data. In retrieval-augmented generation (RAG), it serves as one candidate indexing solution for embedding-based search. section 6.5.4
A practical evaluation compares Elasticsearch with alternatives rather than assuming one configuration is best:
- Select a content collection, such as medical articles, research papers, and health guidelines. section 6.5.4
- Generate embeddings with candidates such as BERT, Sentence-BERT, or GPT-3, then index them using Elasticsearch or FAISS. section 6.5.4
- Measure response quality and system performance against business goals, including accuracy, relevance, latency, throughput, and resource use. section 6.5.4
PharmaBot evaluation
A healthcare chatbot could index material about drug interactions and vaccine effects with Elasticsearch, then test queries such as whether ibuprofen is safe with blood-pressure medication. Configurations can be compared using recall, precision, F1 score, relevance, latency, throughput, CPU usage, and memory usage. section 6.5.4
