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Code Issues Releases Wiki Activity

WIP

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- manual embedder
- multi embedders OK
- clippy + tests OK
This commit is contained in:
Louis Dureuil 2023-12-12 23:39:01 +01:00
parent 922a640188
commit 12940d79a9
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13 changed files with 292 additions and 140 deletions
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60
meilisearch/src/routes/indexes/search.rs
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@ -235,38 +235,42 @@ pub async fn embed(
index_scheduler: &IndexScheduler,
index: &milli::Index,
) -> Result<(), ResponseError> {
if let Some(VectorQuery::String(prompt)) = query.vector.take() {
let embedder_configs = index.embedding_configs(&index.read_txn()?)?;
let embedder = index_scheduler.embedders(embedder_configs)?;
match query.vector.take() {
Some(VectorQuery::String(prompt)) => {
let embedder_configs = index.embedding_configs(&index.read_txn()?)?;
let embedder = index_scheduler.embedders(embedder_configs)?;
let embedder_name = if let Some(HybridQuery {
semantic_ratio: _,
embedder: Some(embedder),
}) = &query.hybrid
{
embedder
} else {
"default"
};
let embedder_name =
if let Some(HybridQuery { semantic_ratio: _, embedder: Some(embedder) }) =
&query.hybrid
{
embedder
} else {
"default"
};
let embeddings = embedder
.get(embedder_name)
.ok_or(milli::UserError::InvalidEmbedder(embedder_name.to_owned()))
.map_err(milli::Error::from)?
.0
.embed(vec![prompt])
.await
.map_err(milli::vector::Error::from)
.map_err(milli::Error::from)?
.pop()
.expect("No vector returned from embedding");
let embeddings = embedder
.get(embedder_name)
.ok_or(milli::UserError::InvalidEmbedder(embedder_name.to_owned()))
.map_err(milli::Error::from)?
.0
.embed(vec![prompt])
.await
.map_err(milli::vector::Error::from)
.map_err(milli::Error::from)?
.pop()
.expect("No vector returned from embedding");
if embeddings.iter().nth(1).is_some() {
warn!("Ignoring embeddings past the first one in long search query");
query.vector = Some(VectorQuery::Vector(embeddings.iter().next().unwrap().to_vec()));
} else {
query.vector = Some(VectorQuery::Vector(embeddings.into_inner()));
if embeddings.iter().nth(1).is_some() {
warn!("Ignoring embeddings past the first one in long search query");
query.vector =
Some(VectorQuery::Vector(embeddings.iter().next().unwrap().to_vec()));
} else {
query.vector = Some(VectorQuery::Vector(embeddings.into_inner()));
}
}
Some(vector) => query.vector = Some(vector),
None => {}
};
Ok(())
}