mirror of
https://github.com/khoaliber/khoj.git
synced 2026-03-02 21:19:12 +00:00
Make it optional to set the encoder, cross-encoder configs via admin UI
This commit is contained in:
@@ -215,11 +215,11 @@ class SearchModelConfig(BaseModel):
|
||||
# Bi-encoder model of sentence-transformer type to load from HuggingFace
|
||||
bi_encoder = models.CharField(max_length=200, default="thenlper/gte-small")
|
||||
# Config passed to the sentence-transformer model constructor. E.g. device="cuda:0", trust_remote_server=True etc.
|
||||
bi_encoder_model_config = models.JSONField(default=dict)
|
||||
bi_encoder_model_config = models.JSONField(default=dict, blank=True)
|
||||
# Query encode configs like prompt, precision, normalize_embeddings, etc. for sentence-transformer models
|
||||
bi_encoder_query_encode_config = models.JSONField(default=dict)
|
||||
bi_encoder_query_encode_config = models.JSONField(default=dict, blank=True)
|
||||
# Docs encode configs like prompt, precision, normalize_embeddings, etc. for sentence-transformer models
|
||||
bi_encoder_docs_encode_config = models.JSONField(default=dict)
|
||||
bi_encoder_docs_encode_config = models.JSONField(default=dict, blank=True)
|
||||
# Cross-encoder model of sentence-transformer type to load from HuggingFace
|
||||
cross_encoder = models.CharField(max_length=200, default="mixedbread-ai/mxbai-rerank-xsmall-v1")
|
||||
# Inference server API endpoint to use for embeddings inference. Bi-encoder model should be hosted on this server
|
||||
|
||||
Reference in New Issue
Block a user