vectorstores/alloydb/README.md
The AlloyDB for PostgreSQL for LangChain package provides a first class experience for connecting to AlloyDB instances from the LangChain ecosystem while providing the following benefits:
In order to use this package, you first need to go through the following steps:
Go version >= go 1.22.0
The AlloyDBEngine configures a connection pool to your AlloyDB database.
package main
import (
"context"
"fmt"
"github.com/tmc/langchaingo/internal/alloydbutil"
)
func NewAlloyDBEngine(ctx context.Context) (*alloydbutil.PostgresEngine, error) {
// Call NewPostgresEngine to initialize the database connection
pgEngine, err := alloydbutil.NewPostgresEngine(ctx,
alloydbutil.WithUser("my-user"),
alloydbutil.WithPassword("my-password"),
alloydbutil.WithDatabase("my-database"),
alloydbutil.WithAlloyDBInstance("my-project-id", "region", "my-cluster", "my-instance"),
)
if err != nil {
return nil, fmt.Errorf("Error creating PostgresEngine: %s", err)
}
return pgEngine, nil
}
func main() {
ctx := context.Background()
alloyDBEngine, err := NewAlloyDBEngine(ctx)
if err != nil {
return nil, err
}
}
See the full Vector Store example and tutorial.
Create an AlloyDBEngine with the WithPool method to connect to an instance of AlloyDB Omni or to customize your connection pool.
package main
import (
"context"
"fmt"
"github.com/jackc/pgx/v5/pgxpool"
"github.com/tmc/langchaingo/internal/alloydbutil"
)
func NewAlloyDBWithPoolEngine(ctx context.Context) (*alloydbutil.PostgresEngine, error) {
myPool, err := pgxpool.New(ctx, os.Getenv("DATABASE_URL"))
if err != nil {
return err
}
// Call NewPostgresEngine to initialize the database connection
pgEngineWithPool, err := alloydbutil.NewPostgresEngine(ctx, alloydbutil.WithPool(myPool))
if err != nil {
return nil, fmt.Errorf("Error creating PostgresEngine with pool: %s", err)
}
return pgEngineWithPool, nil
}
func main() {
ctx := context.Background()
alloyDBEngine, err := NewAlloyDBWithPoolEngine(ctx)
if err != nil {
return nil, err
}
}
Use a vector store to store embedded data and perform vector search.
package main
import (
"context"
"fmt"
"github.com/tmc/langchaingo/embeddings"
"github.com/tmc/langchaingo/internal/alloydbutil"
"github.com/tmc/langchaingo/llms/googleai/vertex"
"github.com/tmc/langchaingo/vectorstores/alloydb"
)
func main() {
ctx := context.Background()
alloyDBEngine, err := NewAlloyDBEngine(ctx)
if err != nil {
return nil, err
}
// Initialize table for the Vectorstore to use. You only need to do this the first time you use this table.
vectorstoreTableoptions, err := &alloydbutil.VectorstoreTableOptions{
TableName: "table",
VectorSize: 768,
}
if err != nil {
log.Fatal(err)
}
err = alloyDBEngine.InitVectorstoreTable(ctx, *vectorstoreTableoptions,
[]alloydbutil.Column{
alloydbutil.Column{
Name: "area",
DataType: "int",
Nullable: false,
},
alloydbutil.Column{
Name: "population",
DataType: "int",
Nullable: false,
},
},
)
if err != nil {
log.Fatal(err)
}
// Initialize VertexAI LLM
llm, err := vertex.New(ctx, googleai.WithCloudProject(projectID), googleai.WithCloudLocation(cloudLocation), googleai.WithDefaultModel("text-embedding-005"))
if err != nil {
log.Fatal(err)
}
myEmbedder, err := embeddings.NewEmbedder(llm)
if err != nil {
log.Fatal(err)
}
vectorStore := alloydb.NewVectorStore(alloyDBEngine, myEmbedder, "my-table", alloydb.WithMetadataColumns([]string{"area", "population"}))
}