Small commit to add hybrid search and autoembedding

This commit is contained in:
Louis Dureuil
2023-11-15 15:46:37 +01:00
parent 21bcf32109
commit 13c2c6c16b
42 changed files with 4045 additions and 246 deletions

View File

@ -1,9 +1,10 @@
use std::cmp::Ordering;
use std::convert::TryFrom;
use std::convert::{TryFrom, TryInto};
use std::fs::File;
use std::io::{self, BufReader, BufWriter};
use std::mem::size_of;
use std::str::from_utf8;
use std::sync::Arc;
use bytemuck::cast_slice;
use grenad::Writer;
@ -13,13 +14,56 @@ use serde_json::{from_slice, Value};
use super::helpers::{create_writer, writer_into_reader, GrenadParameters};
use crate::error::UserError;
use crate::prompt::Prompt;
use crate::update::del_add::{DelAdd, KvReaderDelAdd, KvWriterDelAdd};
use crate::update::index_documents::helpers::try_split_at;
use crate::{DocumentId, FieldId, InternalError, Result, VectorOrArrayOfVectors};
use crate::vector::Embedder;
use crate::{DocumentId, FieldsIdsMap, InternalError, Result, VectorOrArrayOfVectors};
/// The length of the elements that are always in the buffer when inserting new values.
const TRUNCATE_SIZE: usize = size_of::<DocumentId>();
pub struct ExtractedVectorPoints {
// docid, _index -> KvWriterDelAdd -> Vector
pub manual_vectors: grenad::Reader<BufReader<File>>,
// docid -> ()
pub remove_vectors: grenad::Reader<BufReader<File>>,
// docid -> prompt
pub prompts: grenad::Reader<BufReader<File>>,
}
enum VectorStateDelta {
NoChange,
// Remove all vectors, generated or manual, from this document
NowRemoved,
// Add the manually specified vectors, passed in the other grenad
// Remove any previously generated vectors
// Note: changing the value of the manually specified vector **should not record** this delta
WasGeneratedNowManual(Vec<Vec<f32>>),
ManualDelta(Vec<Vec<f32>>, Vec<Vec<f32>>),
// Add the vector computed from the specified prompt
// Remove any previous vector
// Note: changing the value of the prompt **does require** recording this delta
NowGenerated(String),
}
impl VectorStateDelta {
fn into_values(self) -> (bool, String, (Vec<Vec<f32>>, Vec<Vec<f32>>)) {
match self {
VectorStateDelta::NoChange => Default::default(),
VectorStateDelta::NowRemoved => (true, Default::default(), Default::default()),
VectorStateDelta::WasGeneratedNowManual(add) => {
(true, Default::default(), (Default::default(), add))
}
VectorStateDelta::ManualDelta(del, add) => (false, Default::default(), (del, add)),
VectorStateDelta::NowGenerated(prompt) => (true, prompt, Default::default()),
}
}
}
/// Extracts the embedding vector contained in each document under the `_vectors` field.
///
/// Returns the generated grenad reader containing the docid as key associated to the Vec<f32>
@ -27,16 +71,34 @@ const TRUNCATE_SIZE: usize = size_of::<DocumentId>();
pub fn extract_vector_points<R: io::Read + io::Seek>(
obkv_documents: grenad::Reader<R>,
indexer: GrenadParameters,
vectors_fid: FieldId,
) -> Result<grenad::Reader<BufReader<File>>> {
field_id_map: FieldsIdsMap,
prompt: Option<&Prompt>,
) -> Result<ExtractedVectorPoints> {
puffin::profile_function!();
let mut writer = create_writer(
// (docid, _index) -> KvWriterDelAdd -> Vector
let mut manual_vectors_writer = create_writer(
indexer.chunk_compression_type,
indexer.chunk_compression_level,
tempfile::tempfile()?,
);
// (docid) -> (prompt)
let mut prompts_writer = create_writer(
indexer.chunk_compression_type,
indexer.chunk_compression_level,
tempfile::tempfile()?,
);
// (docid) -> ()
let mut remove_vectors_writer = create_writer(
indexer.chunk_compression_type,
indexer.chunk_compression_level,
tempfile::tempfile()?,
);
let vectors_fid = field_id_map.id("_vectors");
let mut key_buffer = Vec::new();
let mut cursor = obkv_documents.into_cursor()?;
while let Some((key, value)) = cursor.move_on_next()? {
@ -53,43 +115,148 @@ pub fn extract_vector_points<R: io::Read + io::Seek>(
// lazily get it when needed
let document_id = || -> Value { from_utf8(external_id_bytes).unwrap().into() };
// first we retrieve the _vectors field
if let Some(value) = obkv.get(vectors_fid) {
let delta = if let Some(value) = vectors_fid.and_then(|vectors_fid| obkv.get(vectors_fid)) {
let vectors_obkv = KvReaderDelAdd::new(value);
match (vectors_obkv.get(DelAdd::Deletion), vectors_obkv.get(DelAdd::Addition)) {
(Some(old), Some(new)) => {
// no autogeneration
let del_vectors = extract_vectors(old, document_id)?;
let add_vectors = extract_vectors(new, document_id)?;
// then we extract the values
let del_vectors = vectors_obkv
.get(DelAdd::Deletion)
.map(|vectors| extract_vectors(vectors, document_id))
.transpose()?
.flatten();
let add_vectors = vectors_obkv
.get(DelAdd::Addition)
.map(|vectors| extract_vectors(vectors, document_id))
.transpose()?
.flatten();
VectorStateDelta::ManualDelta(
del_vectors.unwrap_or_default(),
add_vectors.unwrap_or_default(),
)
}
(None, Some(new)) => {
// was possibly autogenerated, remove all vectors for that document
let add_vectors = extract_vectors(new, document_id)?;
// and we finally push the unique vectors into the writer
push_vectors_diff(
&mut writer,
&mut key_buffer,
del_vectors.unwrap_or_default(),
add_vectors.unwrap_or_default(),
)?;
}
VectorStateDelta::WasGeneratedNowManual(add_vectors.unwrap_or_default())
}
(Some(_old), None) => {
// Do we keep this document?
let document_is_kept = obkv
.iter()
.map(|(_, deladd)| KvReaderDelAdd::new(deladd))
.any(|deladd| deladd.get(DelAdd::Addition).is_some());
if document_is_kept {
// becomes autogenerated
match prompt {
Some(prompt) => VectorStateDelta::NowGenerated(prompt.render(
obkv,
DelAdd::Addition,
&field_id_map,
)?),
None => VectorStateDelta::NowRemoved,
}
} else {
VectorStateDelta::NowRemoved
}
}
(None, None) => {
// Do we keep this document?
let document_is_kept = obkv
.iter()
.map(|(_, deladd)| KvReaderDelAdd::new(deladd))
.any(|deladd| deladd.get(DelAdd::Addition).is_some());
if document_is_kept {
match prompt {
Some(prompt) => {
// Don't give up if the old prompt was failing
let old_prompt = prompt
.render(obkv, DelAdd::Deletion, &field_id_map)
.unwrap_or_default();
let new_prompt =
prompt.render(obkv, DelAdd::Addition, &field_id_map)?;
if old_prompt != new_prompt {
log::trace!(
"Changing prompt from\n{old_prompt}\n===\nto\n{new_prompt}"
);
VectorStateDelta::NowGenerated(new_prompt)
} else {
VectorStateDelta::NoChange
}
}
// We no longer have a prompt, so we need to remove any existing vector
None => VectorStateDelta::NowRemoved,
}
} else {
VectorStateDelta::NowRemoved
}
}
}
} else {
// Do we keep this document?
let document_is_kept = obkv
.iter()
.map(|(_, deladd)| KvReaderDelAdd::new(deladd))
.any(|deladd| deladd.get(DelAdd::Addition).is_some());
if document_is_kept {
match prompt {
Some(prompt) => {
// Don't give up if the old prompt was failing
let old_prompt = prompt
.render(obkv, DelAdd::Deletion, &field_id_map)
.unwrap_or_default();
let new_prompt = prompt.render(obkv, DelAdd::Addition, &field_id_map)?;
if old_prompt != new_prompt {
log::trace!(
"Changing prompt from\n{old_prompt}\n===\nto\n{new_prompt}"
);
VectorStateDelta::NowGenerated(new_prompt)
} else {
VectorStateDelta::NoChange
}
}
None => VectorStateDelta::NowRemoved,
}
} else {
VectorStateDelta::NowRemoved
}
};
// and we finally push the unique vectors into the writer
push_vectors_diff(
&mut remove_vectors_writer,
&mut prompts_writer,
&mut manual_vectors_writer,
&mut key_buffer,
delta,
)?;
}
writer_into_reader(writer)
Ok(ExtractedVectorPoints {
// docid, _index -> KvWriterDelAdd -> Vector
manual_vectors: writer_into_reader(manual_vectors_writer)?,
// docid -> ()
remove_vectors: writer_into_reader(remove_vectors_writer)?,
// docid -> prompt
prompts: writer_into_reader(prompts_writer)?,
})
}
/// Computes the diff between both Del and Add numbers and
/// only inserts the parts that differ in the sorter.
fn push_vectors_diff(
writer: &mut Writer<BufWriter<File>>,
remove_vectors_writer: &mut Writer<BufWriter<File>>,
prompts_writer: &mut Writer<BufWriter<File>>,
manual_vectors_writer: &mut Writer<BufWriter<File>>,
key_buffer: &mut Vec<u8>,
mut del_vectors: Vec<Vec<f32>>,
mut add_vectors: Vec<Vec<f32>>,
delta: VectorStateDelta,
) -> Result<()> {
let (must_remove, prompt, (mut del_vectors, mut add_vectors)) = delta.into_values();
if must_remove {
key_buffer.truncate(TRUNCATE_SIZE);
remove_vectors_writer.insert(&key_buffer, [])?;
}
if !prompt.is_empty() {
key_buffer.truncate(TRUNCATE_SIZE);
prompts_writer.insert(&key_buffer, prompt.as_bytes())?;
}
// We sort and dedup the vectors
del_vectors.sort_unstable_by(|a, b| compare_vectors(a, b));
add_vectors.sort_unstable_by(|a, b| compare_vectors(a, b));
@ -114,7 +281,7 @@ fn push_vectors_diff(
let mut obkv = KvWriterDelAdd::memory();
obkv.insert(DelAdd::Deletion, cast_slice(&vector))?;
let bytes = obkv.into_inner()?;
writer.insert(&key_buffer, bytes)?;
manual_vectors_writer.insert(&key_buffer, bytes)?;
}
EitherOrBoth::Right(vector) => {
// We insert only the Add part of the Obkv to inform
@ -122,7 +289,7 @@ fn push_vectors_diff(
let mut obkv = KvWriterDelAdd::memory();
obkv.insert(DelAdd::Addition, cast_slice(&vector))?;
let bytes = obkv.into_inner()?;
writer.insert(&key_buffer, bytes)?;
manual_vectors_writer.insert(&key_buffer, bytes)?;
}
}
}
@ -146,3 +313,102 @@ fn extract_vectors(value: &[u8], document_id: impl Fn() -> Value) -> Result<Opti
.into()),
}
}
#[logging_timer::time]
pub fn extract_embeddings<R: io::Read + io::Seek>(
// docid, prompt
prompt_reader: grenad::Reader<R>,
indexer: GrenadParameters,
embedder: Arc<Embedder>,
) -> Result<(grenad::Reader<BufReader<File>>, Option<usize>)> {
let rt = tokio::runtime::Builder::new_current_thread().enable_io().enable_time().build()?;
let n_chunks = embedder.chunk_count_hint(); // chunk level parellelism
let n_vectors_per_chunk = embedder.prompt_count_in_chunk_hint(); // number of vectors in a single chunk
// docid, state with embedding
let mut state_writer = create_writer(
indexer.chunk_compression_type,
indexer.chunk_compression_level,
tempfile::tempfile()?,
);
let mut chunks = Vec::with_capacity(n_chunks);
let mut current_chunk = Vec::with_capacity(n_vectors_per_chunk);
let mut current_chunk_ids = Vec::with_capacity(n_vectors_per_chunk);
let mut chunks_ids = Vec::with_capacity(n_chunks);
let mut cursor = prompt_reader.into_cursor()?;
let mut expected_dimension = None;
while let Some((key, value)) = cursor.move_on_next()? {
let docid = key.try_into().map(DocumentId::from_be_bytes).unwrap();
// SAFETY: precondition, the grenad value was saved from a string
let prompt = unsafe { std::str::from_utf8_unchecked(value) };
if current_chunk.len() == current_chunk.capacity() {
chunks.push(std::mem::replace(
&mut current_chunk,
Vec::with_capacity(n_vectors_per_chunk),
));
chunks_ids.push(std::mem::replace(
&mut current_chunk_ids,
Vec::with_capacity(n_vectors_per_chunk),
));
};
current_chunk.push(prompt.to_owned());
current_chunk_ids.push(docid);
if chunks.len() == chunks.capacity() {
let chunked_embeds = rt
.block_on(
embedder
.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)?;
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());
}
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))
}

View File

@ -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();