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Docs/Search: Add basic documentation of the qdrant search

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Lain Soykaf 2024-05-14 16:56:58 +04:00
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docs/configuration/search.md
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@ -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.
## 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
Note that it's quite a bit more memory hungry than PostgreSQL (around 4-5G for ~1.2 million