mirror of
https://github.com/meilisearch/meilisearch.git
synced 2025-09-14 00:36:25 +00:00
Small commit to add hybrid search and autoembedding
This commit is contained in:
@ -1,9 +1,10 @@
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use std::cmp::Ordering;
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use std::convert::TryFrom;
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use std::convert::{TryFrom, TryInto};
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use std::fs::File;
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use std::io::{self, BufReader, BufWriter};
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use std::mem::size_of;
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use std::str::from_utf8;
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use std::sync::Arc;
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use bytemuck::cast_slice;
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use grenad::Writer;
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@ -13,13 +14,56 @@ use serde_json::{from_slice, Value};
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use super::helpers::{create_writer, writer_into_reader, GrenadParameters};
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use crate::error::UserError;
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use crate::prompt::Prompt;
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use crate::update::del_add::{DelAdd, KvReaderDelAdd, KvWriterDelAdd};
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use crate::update::index_documents::helpers::try_split_at;
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use crate::{DocumentId, FieldId, InternalError, Result, VectorOrArrayOfVectors};
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use crate::vector::Embedder;
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use crate::{DocumentId, FieldsIdsMap, InternalError, Result, VectorOrArrayOfVectors};
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/// The length of the elements that are always in the buffer when inserting new values.
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const TRUNCATE_SIZE: usize = size_of::<DocumentId>();
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pub struct ExtractedVectorPoints {
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// docid, _index -> KvWriterDelAdd -> Vector
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pub manual_vectors: grenad::Reader<BufReader<File>>,
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// docid -> ()
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pub remove_vectors: grenad::Reader<BufReader<File>>,
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// docid -> prompt
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pub prompts: grenad::Reader<BufReader<File>>,
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}
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enum VectorStateDelta {
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NoChange,
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// Remove all vectors, generated or manual, from this document
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NowRemoved,
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// Add the manually specified vectors, passed in the other grenad
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// Remove any previously generated vectors
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// Note: changing the value of the manually specified vector **should not record** this delta
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WasGeneratedNowManual(Vec<Vec<f32>>),
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ManualDelta(Vec<Vec<f32>>, Vec<Vec<f32>>),
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// Add the vector computed from the specified prompt
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// Remove any previous vector
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// Note: changing the value of the prompt **does require** recording this delta
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NowGenerated(String),
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}
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impl VectorStateDelta {
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fn into_values(self) -> (bool, String, (Vec<Vec<f32>>, Vec<Vec<f32>>)) {
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match self {
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VectorStateDelta::NoChange => Default::default(),
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VectorStateDelta::NowRemoved => (true, Default::default(), Default::default()),
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VectorStateDelta::WasGeneratedNowManual(add) => {
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(true, Default::default(), (Default::default(), add))
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}
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VectorStateDelta::ManualDelta(del, add) => (false, Default::default(), (del, add)),
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VectorStateDelta::NowGenerated(prompt) => (true, prompt, Default::default()),
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}
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}
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}
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/// Extracts the embedding vector contained in each document under the `_vectors` field.
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///
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/// Returns the generated grenad reader containing the docid as key associated to the Vec<f32>
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@ -27,16 +71,34 @@ const TRUNCATE_SIZE: usize = size_of::<DocumentId>();
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pub fn extract_vector_points<R: io::Read + io::Seek>(
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obkv_documents: grenad::Reader<R>,
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indexer: GrenadParameters,
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vectors_fid: FieldId,
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) -> Result<grenad::Reader<BufReader<File>>> {
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field_id_map: FieldsIdsMap,
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prompt: Option<&Prompt>,
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) -> Result<ExtractedVectorPoints> {
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puffin::profile_function!();
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let mut writer = create_writer(
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// (docid, _index) -> KvWriterDelAdd -> Vector
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let mut manual_vectors_writer = create_writer(
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indexer.chunk_compression_type,
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indexer.chunk_compression_level,
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tempfile::tempfile()?,
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);
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// (docid) -> (prompt)
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let mut prompts_writer = create_writer(
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indexer.chunk_compression_type,
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indexer.chunk_compression_level,
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tempfile::tempfile()?,
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);
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// (docid) -> ()
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let mut remove_vectors_writer = create_writer(
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indexer.chunk_compression_type,
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indexer.chunk_compression_level,
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tempfile::tempfile()?,
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);
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let vectors_fid = field_id_map.id("_vectors");
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let mut key_buffer = Vec::new();
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let mut cursor = obkv_documents.into_cursor()?;
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while let Some((key, value)) = cursor.move_on_next()? {
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@ -53,43 +115,148 @@ pub fn extract_vector_points<R: io::Read + io::Seek>(
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// lazily get it when needed
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let document_id = || -> Value { from_utf8(external_id_bytes).unwrap().into() };
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// first we retrieve the _vectors field
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if let Some(value) = obkv.get(vectors_fid) {
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let delta = if let Some(value) = vectors_fid.and_then(|vectors_fid| obkv.get(vectors_fid)) {
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let vectors_obkv = KvReaderDelAdd::new(value);
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match (vectors_obkv.get(DelAdd::Deletion), vectors_obkv.get(DelAdd::Addition)) {
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(Some(old), Some(new)) => {
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// no autogeneration
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let del_vectors = extract_vectors(old, document_id)?;
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let add_vectors = extract_vectors(new, document_id)?;
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// then we extract the values
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let del_vectors = vectors_obkv
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.get(DelAdd::Deletion)
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.map(|vectors| extract_vectors(vectors, document_id))
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.transpose()?
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.flatten();
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let add_vectors = vectors_obkv
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.get(DelAdd::Addition)
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.map(|vectors| extract_vectors(vectors, document_id))
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.transpose()?
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.flatten();
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VectorStateDelta::ManualDelta(
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del_vectors.unwrap_or_default(),
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add_vectors.unwrap_or_default(),
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)
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}
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(None, Some(new)) => {
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// was possibly autogenerated, remove all vectors for that document
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let add_vectors = extract_vectors(new, document_id)?;
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// and we finally push the unique vectors into the writer
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push_vectors_diff(
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&mut writer,
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&mut key_buffer,
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del_vectors.unwrap_or_default(),
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add_vectors.unwrap_or_default(),
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)?;
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}
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VectorStateDelta::WasGeneratedNowManual(add_vectors.unwrap_or_default())
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}
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(Some(_old), None) => {
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// Do we keep this document?
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let document_is_kept = obkv
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.iter()
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.map(|(_, deladd)| KvReaderDelAdd::new(deladd))
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.any(|deladd| deladd.get(DelAdd::Addition).is_some());
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if document_is_kept {
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// becomes autogenerated
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match prompt {
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Some(prompt) => VectorStateDelta::NowGenerated(prompt.render(
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obkv,
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DelAdd::Addition,
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&field_id_map,
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)?),
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None => VectorStateDelta::NowRemoved,
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}
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} else {
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VectorStateDelta::NowRemoved
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}
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}
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(None, None) => {
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// Do we keep this document?
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let document_is_kept = obkv
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.iter()
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.map(|(_, deladd)| KvReaderDelAdd::new(deladd))
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.any(|deladd| deladd.get(DelAdd::Addition).is_some());
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if document_is_kept {
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match prompt {
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Some(prompt) => {
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// Don't give up if the old prompt was failing
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let old_prompt = prompt
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.render(obkv, DelAdd::Deletion, &field_id_map)
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.unwrap_or_default();
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let new_prompt =
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prompt.render(obkv, DelAdd::Addition, &field_id_map)?;
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if old_prompt != new_prompt {
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log::trace!(
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"Changing prompt from\n{old_prompt}\n===\nto\n{new_prompt}"
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);
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VectorStateDelta::NowGenerated(new_prompt)
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} else {
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VectorStateDelta::NoChange
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}
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}
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// We no longer have a prompt, so we need to remove any existing vector
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None => VectorStateDelta::NowRemoved,
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}
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} else {
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VectorStateDelta::NowRemoved
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}
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}
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}
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} else {
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// Do we keep this document?
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let document_is_kept = obkv
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.iter()
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.map(|(_, deladd)| KvReaderDelAdd::new(deladd))
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.any(|deladd| deladd.get(DelAdd::Addition).is_some());
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if document_is_kept {
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match prompt {
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Some(prompt) => {
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// Don't give up if the old prompt was failing
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let old_prompt = prompt
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.render(obkv, DelAdd::Deletion, &field_id_map)
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.unwrap_or_default();
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let new_prompt = prompt.render(obkv, DelAdd::Addition, &field_id_map)?;
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if old_prompt != new_prompt {
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log::trace!(
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"Changing prompt from\n{old_prompt}\n===\nto\n{new_prompt}"
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);
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VectorStateDelta::NowGenerated(new_prompt)
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} else {
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VectorStateDelta::NoChange
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}
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}
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None => VectorStateDelta::NowRemoved,
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}
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} else {
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VectorStateDelta::NowRemoved
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}
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};
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// and we finally push the unique vectors into the writer
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push_vectors_diff(
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&mut remove_vectors_writer,
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&mut prompts_writer,
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&mut manual_vectors_writer,
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&mut key_buffer,
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delta,
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)?;
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}
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writer_into_reader(writer)
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Ok(ExtractedVectorPoints {
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// docid, _index -> KvWriterDelAdd -> Vector
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manual_vectors: writer_into_reader(manual_vectors_writer)?,
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// docid -> ()
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remove_vectors: writer_into_reader(remove_vectors_writer)?,
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// docid -> prompt
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prompts: writer_into_reader(prompts_writer)?,
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})
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}
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/// Computes the diff between both Del and Add numbers and
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/// only inserts the parts that differ in the sorter.
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fn push_vectors_diff(
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writer: &mut Writer<BufWriter<File>>,
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remove_vectors_writer: &mut Writer<BufWriter<File>>,
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prompts_writer: &mut Writer<BufWriter<File>>,
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manual_vectors_writer: &mut Writer<BufWriter<File>>,
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key_buffer: &mut Vec<u8>,
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mut del_vectors: Vec<Vec<f32>>,
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mut add_vectors: Vec<Vec<f32>>,
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delta: VectorStateDelta,
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) -> Result<()> {
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let (must_remove, prompt, (mut del_vectors, mut add_vectors)) = delta.into_values();
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if must_remove {
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key_buffer.truncate(TRUNCATE_SIZE);
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remove_vectors_writer.insert(&key_buffer, [])?;
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}
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if !prompt.is_empty() {
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key_buffer.truncate(TRUNCATE_SIZE);
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prompts_writer.insert(&key_buffer, prompt.as_bytes())?;
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}
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// We sort and dedup the vectors
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del_vectors.sort_unstable_by(|a, b| compare_vectors(a, b));
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add_vectors.sort_unstable_by(|a, b| compare_vectors(a, b));
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@ -114,7 +281,7 @@ fn push_vectors_diff(
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let mut obkv = KvWriterDelAdd::memory();
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obkv.insert(DelAdd::Deletion, cast_slice(&vector))?;
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let bytes = obkv.into_inner()?;
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writer.insert(&key_buffer, bytes)?;
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manual_vectors_writer.insert(&key_buffer, bytes)?;
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}
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EitherOrBoth::Right(vector) => {
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// We insert only the Add part of the Obkv to inform
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@ -122,7 +289,7 @@ fn push_vectors_diff(
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let mut obkv = KvWriterDelAdd::memory();
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obkv.insert(DelAdd::Addition, cast_slice(&vector))?;
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let bytes = obkv.into_inner()?;
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writer.insert(&key_buffer, bytes)?;
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manual_vectors_writer.insert(&key_buffer, bytes)?;
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}
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}
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}
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@ -146,3 +313,102 @@ fn extract_vectors(value: &[u8], document_id: impl Fn() -> Value) -> Result<Opti
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.into()),
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}
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}
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#[logging_timer::time]
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pub fn extract_embeddings<R: io::Read + io::Seek>(
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// docid, prompt
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prompt_reader: grenad::Reader<R>,
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indexer: GrenadParameters,
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embedder: Arc<Embedder>,
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) -> Result<(grenad::Reader<BufReader<File>>, Option<usize>)> {
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let rt = tokio::runtime::Builder::new_current_thread().enable_io().enable_time().build()?;
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let n_chunks = embedder.chunk_count_hint(); // chunk level parellelism
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let n_vectors_per_chunk = embedder.prompt_count_in_chunk_hint(); // number of vectors in a single chunk
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// docid, state with embedding
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let mut state_writer = create_writer(
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indexer.chunk_compression_type,
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indexer.chunk_compression_level,
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tempfile::tempfile()?,
|
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);
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let mut chunks = Vec::with_capacity(n_chunks);
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let mut current_chunk = Vec::with_capacity(n_vectors_per_chunk);
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let mut current_chunk_ids = Vec::with_capacity(n_vectors_per_chunk);
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let mut chunks_ids = Vec::with_capacity(n_chunks);
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let mut cursor = prompt_reader.into_cursor()?;
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let mut expected_dimension = None;
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while let Some((key, value)) = cursor.move_on_next()? {
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let docid = key.try_into().map(DocumentId::from_be_bytes).unwrap();
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// SAFETY: precondition, the grenad value was saved from a string
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let prompt = unsafe { std::str::from_utf8_unchecked(value) };
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if current_chunk.len() == current_chunk.capacity() {
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chunks.push(std::mem::replace(
|
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&mut current_chunk,
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Vec::with_capacity(n_vectors_per_chunk),
|
||||
));
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chunks_ids.push(std::mem::replace(
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&mut current_chunk_ids,
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Vec::with_capacity(n_vectors_per_chunk),
|
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));
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};
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current_chunk.push(prompt.to_owned());
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current_chunk_ids.push(docid);
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|
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if chunks.len() == chunks.capacity() {
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let chunked_embeds = rt
|
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.block_on(
|
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embedder
|
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.embed_chunks(std::mem::replace(&mut chunks, Vec::with_capacity(n_chunks))),
|
||||
)
|
||||
.map_err(crate::vector::Error::from)
|
||||
.map_err(crate::UserError::from)
|
||||
.map_err(crate::Error::from)?;
|
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|
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for (docid, embeddings) in chunks_ids
|
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.iter()
|
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.flat_map(|docids| docids.iter())
|
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.zip(chunked_embeds.iter().flat_map(|embeds| embeds.iter()))
|
||||
{
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state_writer.insert(docid.to_be_bytes(), cast_slice(embeddings.as_inner()))?;
|
||||
expected_dimension = Some(embeddings.dimension());
|
||||
}
|
||||
chunks_ids.clear();
|
||||
}
|
||||
}
|
||||
|
||||
// send last chunk
|
||||
if !chunks.is_empty() {
|
||||
let chunked_embeds = rt
|
||||
.block_on(embedder.embed_chunks(std::mem::take(&mut chunks)))
|
||||
.map_err(crate::vector::Error::from)
|
||||
.map_err(crate::UserError::from)
|
||||
.map_err(crate::Error::from)?;
|
||||
for (docid, embeddings) in chunks_ids
|
||||
.iter()
|
||||
.flat_map(|docids| docids.iter())
|
||||
.zip(chunked_embeds.iter().flat_map(|embeds| embeds.iter()))
|
||||
{
|
||||
state_writer.insert(docid.to_be_bytes(), cast_slice(embeddings.as_inner()))?;
|
||||
expected_dimension = Some(embeddings.dimension());
|
||||
}
|
||||
}
|
||||
|
||||
if !current_chunk.is_empty() {
|
||||
let embeds = rt
|
||||
.block_on(embedder.embed(std::mem::take(&mut current_chunk)))
|
||||
.map_err(crate::vector::Error::from)
|
||||
.map_err(crate::UserError::from)
|
||||
.map_err(crate::Error::from)?;
|
||||
|
||||
for (docid, embeddings) in current_chunk_ids.iter().zip(embeds.iter()) {
|
||||
state_writer.insert(docid.to_be_bytes(), cast_slice(embeddings.as_inner()))?;
|
||||
expected_dimension = Some(embeddings.dimension());
|
||||
}
|
||||
}
|
||||
|
||||
Ok((writer_into_reader(state_writer)?, expected_dimension))
|
||||
}
|
||||
|
@ -9,9 +9,10 @@ mod extract_word_docids;
|
||||
mod extract_word_pair_proximity_docids;
|
||||
mod extract_word_position_docids;
|
||||
|
||||
use std::collections::HashSet;
|
||||
use std::collections::{HashMap, HashSet};
|
||||
use std::fs::File;
|
||||
use std::io::BufReader;
|
||||
use std::sync::Arc;
|
||||
|
||||
use crossbeam_channel::Sender;
|
||||
use log::debug;
|
||||
@ -23,7 +24,9 @@ use self::extract_facet_string_docids::extract_facet_string_docids;
|
||||
use self::extract_fid_docid_facet_values::{extract_fid_docid_facet_values, ExtractedFacetValues};
|
||||
use self::extract_fid_word_count_docids::extract_fid_word_count_docids;
|
||||
use self::extract_geo_points::extract_geo_points;
|
||||
use self::extract_vector_points::extract_vector_points;
|
||||
use self::extract_vector_points::{
|
||||
extract_embeddings, extract_vector_points, ExtractedVectorPoints,
|
||||
};
|
||||
use self::extract_word_docids::extract_word_docids;
|
||||
use self::extract_word_pair_proximity_docids::extract_word_pair_proximity_docids;
|
||||
use self::extract_word_position_docids::extract_word_position_docids;
|
||||
@ -32,8 +35,10 @@ use super::helpers::{
|
||||
MergeFn, MergeableReader,
|
||||
};
|
||||
use super::{helpers, TypedChunk};
|
||||
use crate::prompt::Prompt;
|
||||
use crate::proximity::ProximityPrecision;
|
||||
use crate::{FieldId, Result};
|
||||
use crate::vector::Embedder;
|
||||
use crate::{FieldId, FieldsIdsMap, Result};
|
||||
|
||||
/// Extract data for each databases from obkv documents in parallel.
|
||||
/// Send data in grenad file over provided Sender.
|
||||
@ -47,13 +52,14 @@ pub(crate) fn data_from_obkv_documents(
|
||||
faceted_fields: HashSet<FieldId>,
|
||||
primary_key_id: FieldId,
|
||||
geo_fields_ids: Option<(FieldId, FieldId)>,
|
||||
vectors_field_id: Option<FieldId>,
|
||||
field_id_map: FieldsIdsMap,
|
||||
stop_words: Option<fst::Set<&[u8]>>,
|
||||
allowed_separators: Option<&[&str]>,
|
||||
dictionary: Option<&[&str]>,
|
||||
max_positions_per_attributes: Option<u32>,
|
||||
exact_attributes: HashSet<FieldId>,
|
||||
proximity_precision: ProximityPrecision,
|
||||
embedders: HashMap<String, (Arc<Embedder>, Arc<Prompt>)>,
|
||||
) -> Result<()> {
|
||||
puffin::profile_function!();
|
||||
|
||||
@ -64,7 +70,8 @@ pub(crate) fn data_from_obkv_documents(
|
||||
original_documents_chunk,
|
||||
indexer,
|
||||
lmdb_writer_sx.clone(),
|
||||
vectors_field_id,
|
||||
field_id_map.clone(),
|
||||
embedders.clone(),
|
||||
)
|
||||
})
|
||||
.collect::<Result<()>>()?;
|
||||
@ -276,24 +283,42 @@ fn send_original_documents_data(
|
||||
original_documents_chunk: Result<grenad::Reader<BufReader<File>>>,
|
||||
indexer: GrenadParameters,
|
||||
lmdb_writer_sx: Sender<Result<TypedChunk>>,
|
||||
vectors_field_id: Option<FieldId>,
|
||||
field_id_map: FieldsIdsMap,
|
||||
embedders: HashMap<String, (Arc<Embedder>, Arc<Prompt>)>,
|
||||
) -> Result<()> {
|
||||
let original_documents_chunk =
|
||||
original_documents_chunk.and_then(|c| unsafe { as_cloneable_grenad(&c) })?;
|
||||
|
||||
if let Some(vectors_field_id) = vectors_field_id {
|
||||
let documents_chunk_cloned = original_documents_chunk.clone();
|
||||
let lmdb_writer_sx_cloned = lmdb_writer_sx.clone();
|
||||
rayon::spawn(move || {
|
||||
let result = extract_vector_points(documents_chunk_cloned, indexer, vectors_field_id);
|
||||
let _ = match result {
|
||||
Ok(vector_points) => {
|
||||
lmdb_writer_sx_cloned.send(Ok(TypedChunk::VectorPoints(vector_points)))
|
||||
}
|
||||
Err(error) => lmdb_writer_sx_cloned.send(Err(error)),
|
||||
};
|
||||
});
|
||||
}
|
||||
let documents_chunk_cloned = original_documents_chunk.clone();
|
||||
let lmdb_writer_sx_cloned = lmdb_writer_sx.clone();
|
||||
rayon::spawn(move || {
|
||||
let (embedder, prompt) = embedders.get("default").cloned().unzip();
|
||||
let result =
|
||||
extract_vector_points(documents_chunk_cloned, indexer, field_id_map, prompt.as_deref());
|
||||
let _ = match result {
|
||||
Ok(ExtractedVectorPoints { manual_vectors, remove_vectors, prompts }) => {
|
||||
/// FIXME: support multiple embedders
|
||||
let results = embedder.and_then(|embedder| {
|
||||
match extract_embeddings(prompts, indexer, embedder.clone()) {
|
||||
Ok(results) => Some(results),
|
||||
Err(error) => {
|
||||
let _ = lmdb_writer_sx_cloned.send(Err(error));
|
||||
None
|
||||
}
|
||||
}
|
||||
});
|
||||
let (embeddings, expected_dimension) = results.unzip();
|
||||
let expected_dimension = expected_dimension.flatten();
|
||||
lmdb_writer_sx_cloned.send(Ok(TypedChunk::VectorPoints {
|
||||
remove_vectors,
|
||||
embeddings,
|
||||
expected_dimension,
|
||||
manual_vectors,
|
||||
}))
|
||||
}
|
||||
Err(error) => lmdb_writer_sx_cloned.send(Err(error)),
|
||||
};
|
||||
});
|
||||
|
||||
// TODO: create a custom internal error
|
||||
lmdb_writer_sx.send(Ok(TypedChunk::Documents(original_documents_chunk))).unwrap();
|
||||
|
Reference in New Issue
Block a user