155 lines
4.2 KiB
Go
155 lines
4.2 KiB
Go
package embed
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import (
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"context"
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"errors"
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"fmt"
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"log/slog"
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"git.estatecloud.org/radumaco/souvenir/config"
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"git.estatecloud.org/radumaco/souvenir/llm"
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"github.com/jackc/pgx/v5"
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"github.com/jackc/pgx/v5/pgxpool"
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"github.com/pgvector/pgvector-go"
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)
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type EmbedStore struct {
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cfg config.DbConfig
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logger slog.Logger
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embedder llm.Embedder
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tableName string
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pool *pgxpool.Pool
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}
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type Chunk struct {
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id, content, contentHash string
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}
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func (e EmbedStore) TableName() string {
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if e.tableName == "" {
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e.tableName = fmt.Sprintf(`message_chunks_vec_%s`, e.embedder.ID())
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}
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return e.tableName
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}
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func NewEmbedStore(ctx context.Context, cfg config.DbConfig, embedder llm.Embedder) (*EmbedStore, error) {
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logger := *slog.Default().With("Component", "EmbedStore")
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pool, err := pgxpool.New(ctx, cfg.ConnectionString())
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if err != nil {
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logger.ErrorContext(ctx, "Could not create pgxpool")
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return nil, err
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}
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store := EmbedStore{
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cfg: cfg,
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logger: logger,
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embedder: embedder,
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pool: pool,
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}
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const createVectorTableTemplate = `
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CREATE TABLE IF NOT EXISTS %s (
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chunk_id UUID PRIMARY KEY REFERENCES message_chunks(id) ON DELETE CASCADE,
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embedding vector(%d),
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content_hash text not null
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)`
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var exists bool
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if err := pool.QueryRow(ctx, `SELECT EXISTS
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(SELECT 1 FROM information_schema.tables
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WHERE table_schema = 'public'
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AND table_name =$1)`, store.TableName()).Scan(&exists); err != nil {
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logger.Error("Error while checking table", "table", store.TableName(), "error", err)
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return nil, err
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}
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if exists {
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logger.Debug("Table found", "table", store.TableName())
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} else {
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logger.Debug("Table not found. Creating", "table", store.TableName())
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script := fmt.Sprintf(createVectorTableTemplate, store.TableName(), store.embedder.Dim())
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if _, err := pool.Exec(ctx, script); err != nil {
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logger.Error("Could not create table", "table", store.TableName(), "error", err)
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return nil, err
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}
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}
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return &store, nil
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}
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func (e EmbedStore) EmbedConversation(ctx context.Context, conversationId string) error {
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rows, err := e.pool.Query(ctx, fmt.Sprintf(`SELECT c.id, c.content, c.content_hash
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FROM message_chunks c
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LEFT JOIN %s v
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ON v.chunk_id = c.id AND v.content_hash = c.content_hash
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WHERE c.conversation_id = $1 and v.chunk_id IS NULL`, e.TableName()),
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conversationId)
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if err != nil {
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e.logger.Error("Could not get message chunks", "conversation_id", conversationId, "error", err)
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return err
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}
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var pending []Chunk
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for rows.Next() {
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var p Chunk
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if err := rows.Scan(&p.id, &p.content, &p.contentHash); err != nil {
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rows.Close()
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e.logger.Error("Error reading chunk", "error", err)
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return err
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}
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pending = append(pending, p)
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}
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rows.Close()
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if len(pending) == 0 {
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e.logger.Debug("Nothing to embed", "conversation_id", conversationId)
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return nil
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}
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for start := 0; start < len(pending); start += e.embedder.Cfg.BatchSize {
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batch := pending[start:min(start+e.embedder.Cfg.BatchSize, len(pending))]
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texts := make([]string, len(batch))
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for i, chunk := range batch {
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texts[i] = chunk.content
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}
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vecs, err := e.embedder.EmbedBatch(texts)
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if err != nil {
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e.logger.Error("There was an error embedding batch", "conversation_id", conversationId, "error", err)
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return err
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}
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if len(vecs) != len(batch) {
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err := fmt.Sprintf("Embedder returned %d vecs for %d inputs", len(vecs), len(batch))
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e.logger.Error(err)
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return errors.New(err)
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}
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if err := e.upsert(ctx, batch, vecs); err != nil {
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e.logger.Error("Error inserting vectors in db", "error", err)
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return err
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}
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}
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return nil
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}
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func (e EmbedStore) upsert(ctx context.Context, chunks []Chunk, vecs [][]float32) error {
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query := fmt.Sprintf(`
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INSERT INTO %s (chunk_id, embedding, content_hash)
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VALUES ($1, $2, $3)
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ON CONFLICT (chunk_id) DO UPDATE
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SET embedding = EXCLUDED.embedding,
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content_hash = EXCLUDED.content_hash`, e.TableName())
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batch := &pgx.Batch{}
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for i, chunk := range chunks {
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batch.Queue(query, chunk.id, pgvector.NewVector(vecs[i]), chunk.contentHash)
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}
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result := e.pool.SendBatch(ctx, batch)
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defer result.Close()
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for range chunks {
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if _, err := result.Exec(); err != nil {
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e.logger.Error("Error inserting chunk", "error", err)
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return err
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}
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}
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return nil
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}
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