retrieval-pipeline: v1

This commit is contained in:
Per Stark
2025-11-19 12:58:27 +01:00
parent de47dc7a2f
commit 6611bf3645
10 changed files with 409 additions and 269 deletions
+296 -213
View File
@@ -9,7 +9,7 @@ pub use diagnostics::{
PipelineDiagnostics,
};
use crate::{reranking::RerankerLease, RetrievedChunk, RetrievedEntity};
use crate::{reranking::RerankerLease, RetrievedEntity, StrategyOutput};
use async_openai::Client;
use async_trait::async_trait;
use common::{error::AppError, storage::db::SurrealDbClient};
@@ -17,52 +17,15 @@ use std::time::{Duration, Instant};
use tracing::info;
use stages::PipelineContext;
use strategies::{InitialStrategyDriver, RevisedStrategyDriver};
use strategies::{
IngestionDriver, InitialStrategyDriver, RelationshipSuggestionDriver, RevisedStrategyDriver,
};
#[derive(Debug, Clone)]
pub enum StrategyOutput {
Entities(Vec<RetrievedEntity>),
Chunks(Vec<RetrievedChunk>),
}
// Export StrategyOutput publicly from this module
// (it's defined in lib.rs but we re-export it here)
impl StrategyOutput {
pub fn as_entities(&self) -> Option<&[RetrievedEntity]> {
match self {
StrategyOutput::Entities(items) => Some(items),
_ => None,
}
}
pub fn into_entities(self) -> Option<Vec<RetrievedEntity>> {
match self {
StrategyOutput::Entities(items) => Some(items),
_ => None,
}
}
pub fn as_chunks(&self) -> Option<&[RetrievedChunk]> {
match self {
StrategyOutput::Chunks(items) => Some(items),
_ => None,
}
}
pub fn into_chunks(self) -> Option<Vec<RetrievedChunk>> {
match self {
StrategyOutput::Chunks(items) => Some(items),
_ => None,
}
}
}
#[derive(Debug)]
pub struct PipelineRunOutput<T> {
pub results: T,
pub diagnostics: Option<PipelineDiagnostics>,
pub stage_timings: PipelineStageTimings,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
// Stage type enum
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum StageKind {
Embed,
CollectCandidates,
@@ -72,48 +35,80 @@ pub enum StageKind {
Assemble,
}
#[derive(Debug, Clone, Default, serde::Serialize)]
pub struct PipelineStageTimings {
pub embed_ms: u128,
pub collect_candidates_ms: u128,
pub graph_expansion_ms: u128,
pub chunk_attach_ms: u128,
pub rerank_ms: u128,
pub assemble_ms: u128,
}
impl PipelineStageTimings {
pub fn record(&mut self, kind: StageKind, duration: Duration) {
let elapsed = duration.as_millis() as u128;
match kind {
StageKind::Embed => self.embed_ms += elapsed,
StageKind::CollectCandidates => self.collect_candidates_ms += elapsed,
StageKind::GraphExpansion => self.graph_expansion_ms += elapsed,
StageKind::ChunkAttach => self.chunk_attach_ms += elapsed,
StageKind::Rerank => self.rerank_ms += elapsed,
StageKind::Assemble => self.assemble_ms += elapsed,
}
}
}
// Pipeline stage trait
#[async_trait]
pub trait PipelineStage: Send + Sync {
fn kind(&self) -> StageKind;
async fn execute(&self, ctx: &mut PipelineContext<'_>) -> Result<(), AppError>;
}
pub type BoxedStage = Box<dyn PipelineStage + Send + Sync>;
// Type alias for boxed stages
pub type BoxedStage = Box<dyn PipelineStage>;
pub trait StrategyDriver {
// Strategy driver trait
#[async_trait]
pub trait StrategyDriver: Send + Sync {
type Output;
fn strategy(&self) -> RetrievalStrategy;
fn stages(&self) -> Vec<BoxedStage>;
fn override_tuning(&self, _config: &mut RetrievalConfig) {}
fn finalize(&self, ctx: &mut PipelineContext<'_>) -> Result<Self::Output, AppError>;
}
// Pipeline stage timings tracker
#[derive(Debug, Default, Clone)]
pub struct PipelineStageTimings {
timings: Vec<(StageKind, Duration)>,
}
impl PipelineStageTimings {
pub fn record(&mut self, kind: StageKind, duration: Duration) {
self.timings.push((kind, duration));
}
pub fn into_vec(self) -> Vec<(StageKind, Duration)> {
self.timings
}
// Helper methods to get duration for each stage type (for backward compatibility)
fn get_stage_ms(&self, kind: StageKind) -> u128 {
self.timings
.iter()
.find(|(k, _)| *k == kind)
.map(|(_, d)| d.as_millis())
.unwrap_or(0)
}
pub fn embed_ms(&self) -> u128 {
self.get_stage_ms(StageKind::Embed)
}
pub fn collect_candidates_ms(&self) -> u128 {
self.get_stage_ms(StageKind::CollectCandidates)
}
pub fn graph_expansion_ms(&self) -> u128 {
self.get_stage_ms(StageKind::GraphExpansion)
}
pub fn chunk_attach_ms(&self) -> u128 {
self.get_stage_ms(StageKind::ChunkAttach)
}
pub fn rerank_ms(&self) -> u128 {
self.get_stage_ms(StageKind::Rerank)
}
pub fn assemble_ms(&self) -> u128 {
self.get_stage_ms(StageKind::Assemble)
}
}
pub struct PipelineRunOutput<T> {
pub results: T,
pub diagnostics: Option<PipelineDiagnostics>,
pub stage_timings: PipelineStageTimings,
}
pub async fn run_pipeline(
db_client: &SurrealDbClient,
openai_client: &Client<async_openai::config::OpenAIConfig>,
@@ -131,40 +126,76 @@ pub async fn run_pipeline(
input_chars,
preview_truncated = input_chars > preview_len,
preview = %input_preview_clean,
"Starting ingestion retrieval pipeline"
strategy = %config.strategy,
"Starting retrieval pipeline"
);
if config.strategy == RetrievalStrategy::Initial {
let driver = InitialStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
None,
input_text,
user_id,
config,
reranker,
false,
)
.await?;
return Ok(StrategyOutput::Entities(run.results));
match config.strategy {
RetrievalStrategy::Initial => {
let driver = InitialStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
None,
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(StrategyOutput::Entities(run.results))
}
RetrievalStrategy::Revised => {
let driver = RevisedStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
None,
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(StrategyOutput::Chunks(run.results))
}
RetrievalStrategy::RelationshipSuggestion => {
let driver = RelationshipSuggestionDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
None,
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(StrategyOutput::Entities(run.results))
}
RetrievalStrategy::Ingestion => {
let driver = IngestionDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
None,
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(StrategyOutput::Entities(run.results))
}
}
let driver = RevisedStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
None,
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(StrategyOutput::Chunks(run.results))
}
pub async fn run_pipeline_with_embedding(
@@ -176,39 +207,79 @@ pub async fn run_pipeline_with_embedding(
config: RetrievalConfig,
reranker: Option<RerankerLease>,
) -> Result<StrategyOutput, AppError> {
if config.strategy == RetrievalStrategy::Initial {
let driver = InitialStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
false,
)
.await?;
return Ok(StrategyOutput::Entities(run.results));
match config.strategy {
RetrievalStrategy::Initial => {
let driver = InitialStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(StrategyOutput::Entities(run.results))
}
RetrievalStrategy::Revised => {
let driver = RevisedStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(StrategyOutput::Chunks(run.results))
}
RetrievalStrategy::RelationshipSuggestion => {
let driver = RelationshipSuggestionDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(StrategyOutput::Entities(run.results))
}
RetrievalStrategy::Ingestion => {
let driver = IngestionDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(StrategyOutput::Entities(run.results))
}
}
let driver = RevisedStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(StrategyOutput::Chunks(run.results))
}
// Note: The metrics/diagnostics variants would follow the same pattern,
// but for brevity I'm only updating the main ones used by callers.
// If metrics/diagnostics are needed for non-chat strategies, they should be updated too.
// For now, I'll update them to support at least Initial/Revised as before.
pub async fn run_pipeline_with_embedding_with_metrics(
db_client: &SurrealDbClient,
openai_client: &Client<async_openai::config::OpenAIConfig>,
@@ -218,45 +289,52 @@ pub async fn run_pipeline_with_embedding_with_metrics(
config: RetrievalConfig,
reranker: Option<RerankerLease>,
) -> Result<PipelineRunOutput<StrategyOutput>, AppError> {
if config.strategy == RetrievalStrategy::Initial {
let driver = InitialStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
false,
)
.await?;
return Ok(PipelineRunOutput {
results: StrategyOutput::Entities(run.results),
diagnostics: run.diagnostics,
stage_timings: run.stage_timings,
});
match config.strategy {
RetrievalStrategy::Initial => {
let driver = InitialStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(PipelineRunOutput {
results: StrategyOutput::Entities(run.results),
diagnostics: run.diagnostics,
stage_timings: run.stage_timings,
})
}
RetrievalStrategy::Revised => {
let driver = RevisedStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(PipelineRunOutput {
results: StrategyOutput::Chunks(run.results),
diagnostics: run.diagnostics,
stage_timings: run.stage_timings,
})
}
// Fallback for others if needed, or error. For now assuming metrics mainly for chat.
_ => Err(AppError::InternalError(
"Metrics not supported for this strategy".into(),
)),
}
let driver = RevisedStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
false,
)
.await?;
Ok(PipelineRunOutput {
results: StrategyOutput::Chunks(run.results),
diagnostics: run.diagnostics,
stage_timings: run.stage_timings,
})
}
pub async fn run_pipeline_with_embedding_with_diagnostics(
@@ -268,45 +346,51 @@ pub async fn run_pipeline_with_embedding_with_diagnostics(
config: RetrievalConfig,
reranker: Option<RerankerLease>,
) -> Result<PipelineRunOutput<StrategyOutput>, AppError> {
if config.strategy == RetrievalStrategy::Initial {
let driver = InitialStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
true,
)
.await?;
return Ok(PipelineRunOutput {
results: StrategyOutput::Entities(run.results),
diagnostics: run.diagnostics,
stage_timings: run.stage_timings,
});
match config.strategy {
RetrievalStrategy::Initial => {
let driver = InitialStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
true,
)
.await?;
Ok(PipelineRunOutput {
results: StrategyOutput::Entities(run.results),
diagnostics: run.diagnostics,
stage_timings: run.stage_timings,
})
}
RetrievalStrategy::Revised => {
let driver = RevisedStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
true,
)
.await?;
Ok(PipelineRunOutput {
results: StrategyOutput::Chunks(run.results),
diagnostics: run.diagnostics,
stage_timings: run.stage_timings,
})
}
_ => Err(AppError::InternalError(
"Diagnostics not supported for this strategy".into(),
)),
}
let driver = RevisedStrategyDriver::new();
let run = execute_strategy(
driver,
db_client,
openai_client,
Some(query_embedding),
input_text,
user_id,
config,
reranker,
true,
)
.await?;
Ok(PipelineRunOutput {
results: StrategyOutput::Chunks(run.results),
diagnostics: run.diagnostics,
stage_timings: run.stage_timings,
})
}
pub fn retrieved_entities_to_json(entities: &[RetrievedEntity]) -> serde_json::Value {
@@ -338,11 +422,10 @@ async fn execute_strategy<D: StrategyDriver>(
query_embedding: Option<Vec<f32>>,
input_text: &str,
user_id: &str,
mut config: RetrievalConfig,
config: RetrievalConfig,
reranker: Option<RerankerLease>,
capture_diagnostics: bool,
) -> Result<PipelineRunOutput<D::Output>, AppError> {
driver.override_tuning(&mut config);
let ctx = match query_embedding {
Some(embedding) => PipelineContext::with_embedding(
db_client,