diff options
| author | Lain Soykaf <lain@lain.com> | 2024-05-19 12:42:08 +0400 |
|---|---|---|
| committer | Lain Soykaf <lain@lain.com> | 2024-05-19 12:42:08 +0400 |
| commit | e142ea400a9ed3595f8d432edd90ea26fc7d2eb5 (patch) | |
| tree | 62898b4fc26343f724efaa2fcbe6ab5296ff46cd /docs | |
| parent | c139a9f38c06ab4485b98b56b9ad4cce4d57be12 (diff) | |
| download | pleroma-e142ea400a9ed3595f8d432edd90ea26fc7d2eb5.tar.gz pleroma-e142ea400a9ed3595f8d432edd90ea26fc7d2eb5.zip | |
Docs: Switch docs from Ollama to OpenAI.
Diffstat (limited to 'docs')
| -rw-r--r-- | docs/configuration/search.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/configuration/search.md b/docs/configuration/search.md index 682d1e52a..388f5acd1 100644 --- a/docs/configuration/search.md +++ b/docs/configuration/search.md @@ -12,9 +12,9 @@ While it has no external dependencies, it has problems with performance and rele ## QdrantSearch -This uses the vector search engine [Qdrant](https://qdrant.tech) to search the posts in a vector space. This needs a way to generate embeddings, for now only the [Ollama](Ollama) api is supported. +This uses the vector search engine [Qdrant](https://qdrant.tech) to search the posts in a vector space. This needs a way to generate embeddings and uses the [OpenAI API](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings). This is implemented by several project besides OpenAI itself, including the python-based fastembed-server found in `supplemental/search/fastembed-api`. -The default settings will support a setup where both Ollama and Qdrant run on the same system as pleroma. The embedding model used by Ollama will need to be pulled first (e.g. `ollama pull snowflake-arctic-embed:xs`) for the embedding to work. +The default settings will support a setup where both the fastembed server and Qdrant run on the same system as pleroma. ## Meilisearch |