Docs/Search: Add basic documentation of the qdrant search
This commit is contained in:
parent
1490ff30af
commit
c50f0f31f4
|
@ -10,6 +10,12 @@ To use built-in search that has no external dependencies, set the search module
|
||||||
|
|
||||||
While it has no external dependencies, it has problems with performance and relevancy.
|
While it has no external dependencies, it has problems with performance and relevancy.
|
||||||
|
|
||||||
|
## 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.
|
||||||
|
|
||||||
|
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.
|
||||||
|
|
||||||
## Meilisearch
|
## Meilisearch
|
||||||
|
|
||||||
Note that it's quite a bit more memory hungry than PostgreSQL (around 4-5G for ~1.2 million
|
Note that it's quite a bit more memory hungry than PostgreSQL (around 4-5G for ~1.2 million
|
||||||
|
|
Loading…
Reference in New Issue