Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.trieve.ai/llms.txt

Use this file to discover all available pages before exploring further.

​
What is a Reranker / CrossEncoder?

A Reranker model provides a powerful semantic boost to the search quality of any keyword or vector search system without requiring overhauls or intensive replacing.

​
Using Rerankers with Trieve Vector Inference

1

Update embedding_models.yaml

To use a reranker model with Trieve Vector Inference, you will need to update your embedding_models.yaml file
embedding_models.yaml
...
models:
  ...
  my-reranker-model:
    replicas: 1
    revision: main
    modelName: BAAI/bge-reranker-large
...
2

Upgrade your TVI cluster

Update TVI to include your models
helm upgrade -i vector-inference \
  oci://709825985650.dkr.ecr.us-east-1.amazonaws.com/trieve/trieve-embeddings \
    -f embedding_models.yaml
3

Get embeddings endpoint

kubectl get ing

NAME                                              CLASS   HOSTS   ADDRESS                                                                 PORTS   AGE
vector-inference-embedding-bge-reranker-ingress   alb     *       k8s-default-vectorin-b09efe8cf6-890425945.us-west-1.elb.amazonaws.com   80      77m
The output looks like this