deploy local retrieval models for Hindsight
This commit is contained in:
@@ -0,0 +1,17 @@
|
||||
# Hindsight local retrieval models
|
||||
|
||||
Arcane-managed TEI services on unRaid GPU0 for the production Hindsight VM.
|
||||
|
||||
| Service | Model | LAN endpoint |
|
||||
| --- | --- | --- |
|
||||
| Embedding | `BAAI/bge-m3` | `http://192.168.50.100:18083` |
|
||||
| Reranker | `Alibaba-NLP/gte-multilingual-reranker-base` | `http://192.168.50.100:18084` |
|
||||
|
||||
The BGE-M3 cache is reused from the retired unRaid Hindsight stack. The GTE
|
||||
reranker has a separate cache. Both services use physical GPU0 and conservative
|
||||
TEI concurrency/tokenizer settings.
|
||||
|
||||
Hindsight uses the local embedding directly. Hindsight has no native embedding
|
||||
provider fallback chain, so OpenRouter BGE-M3 remains a manual rollback rather
|
||||
than an automatic fallback. Reranking uses local TEI first, then OpenRouter
|
||||
`cohere/rerank-4-fast`, then RRF.
|
||||
Reference in New Issue
Block a user