ragflow/conf
Tuan Le a9abf9df48
Adds new Voyage embedding models (#8845)
### What problem does this PR solve?
This PR enhances the application's capabilities by adding support for
four new Voyage embedding models (voyage-3-large, voyage-3.5,
voyage-3.5-lite, and voyage-code-3) to the `llm_factories.json`
configuration file. These models expand the available options for text
embedding tasks, enabling improved processing of text data with a
maximum token limit of 32,000. This addition addresses the need for more
diverse and specialized embedding models to support various use cases
without altering existing functionality.

### Type of change
- [x] New Feature (non-breaking change which adds functionality)
2025-07-16 11:41:06 +08:00
..
infinity_mapping.json Feat: add image preview to retrieval test. (#7610) 2025-05-13 14:30:36 +08:00
llm_factories.json Adds new Voyage embedding models (#8845) 2025-07-16 11:41:06 +08:00
mapping.json Make the update script shorter. (#4854) 2025-02-10 18:18:49 +08:00
os_mapping.json Feat: Adds OpenSearch2.19.1 as the vector_database support (#7140) 2025-04-24 16:03:31 +08:00
private.pem build python version rag-flow (#21) 2024-01-15 08:46:22 +08:00
public.pem build python version rag-flow (#21) 2024-01-15 08:46:22 +08:00
service_conf.yaml fix opendal config 'oss_table' and 'max_allowed_packet' (#8611) 2025-07-02 16:45:01 +08:00