Seeing ELSER in action
In this part, we are going to walk you through how easy it is to get started with ELSER and see some significant results right out of the box. The first part will be to go through the required hardware. Then, we will look at preparing the index; finally, we are going to fire a couple of queries to illustrate the power of ELSER.
Hardware consideration
The ELSER documentation (https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-elser.html#elser-hw-benchamrks) goes through benchmarks in representative data, which highlights KPIs such as inference, indexing, query, and latency.
You will see there that the hardware configuration significantly impacts the performance of ELSER. Here are some key takeaways to consider for sizing your infrastructure:
- CPU and memory: The more powerful the ML node (in terms of CPU and memory), the better the performance. For instance, an ML node with 16 GB of memory and 8 vCPUs performs better than one with...
