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feat: knowledgebase support more granular update
Signed-off-by: Abirdcfly <fp544037857@gmail.com>
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Original file line number | Diff line number | Diff line change |
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/* | ||
Copyright 2024 KubeAGI. | ||
Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
http://www.apache.org/licenses/LICENSE-2.0 | ||
Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. | ||
*/ | ||
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package vectorstore | ||
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import ( | ||
"context" | ||
"fmt" | ||
"reflect" | ||
"strings" | ||
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"github.com/jackc/pgx/v5" | ||
"github.com/tmc/langchaingo/embeddings" | ||
"github.com/tmc/langchaingo/llms/openai" | ||
lanchaingoschema "github.com/tmc/langchaingo/schema" | ||
"github.com/tmc/langchaingo/vectorstores" | ||
"github.com/tmc/langchaingo/vectorstores/pgvector" | ||
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" | ||
"k8s.io/apimachinery/pkg/runtime" | ||
"k8s.io/apimachinery/pkg/runtime/schema" | ||
"k8s.io/apimachinery/pkg/types" | ||
"k8s.io/client-go/dynamic" | ||
"k8s.io/klog/v2" | ||
"sigs.k8s.io/controller-runtime/pkg/client" | ||
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arcadiav1alpha1 "github.com/kubeagi/arcadia/api/base/v1alpha1" | ||
"github.com/kubeagi/arcadia/pkg/datasource" | ||
"github.com/kubeagi/arcadia/pkg/utils" | ||
) | ||
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var _ vectorstores.VectorStore = (*PGVectorStore)(nil) | ||
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type PGVectorStore struct { | ||
*pgx.Conn | ||
pgvector.Store | ||
*arcadiav1alpha1.PGVector | ||
} | ||
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func NewPGVectorStore(ctx context.Context, vs *arcadiav1alpha1.VectorStore, c client.Client, dc dynamic.Interface, embedder embeddings.Embedder, collectionName string) (v *PGVectorStore, finish func(), err error) { | ||
v = &PGVectorStore{PGVector: vs.Spec.PGVector} | ||
ops := []pgvector.Option{ | ||
pgvector.WithPreDeleteCollection(vs.Spec.PGVector.PreDeleteCollection), | ||
} | ||
if vs.Spec.PGVector.CollectionTableName != "" { | ||
ops = append(ops, pgvector.WithCollectionTableName(vs.Spec.PGVector.CollectionTableName)) | ||
} else { | ||
v.PGVector.CollectionTableName = pgvector.DefaultCollectionStoreTableName | ||
} | ||
if vs.Spec.PGVector.EmbeddingTableName != "" { | ||
ops = append(ops, pgvector.WithEmbeddingTableName(vs.Spec.PGVector.EmbeddingTableName)) | ||
} else { | ||
v.PGVector.EmbeddingTableName = pgvector.DefaultEmbeddingStoreTableName | ||
} | ||
if ref := vs.Spec.PGVector.DataSourceRef; ref != nil { | ||
if err := utils.ValidateClient(c, dc); err != nil { | ||
return nil, nil, err | ||
} | ||
ds := &arcadiav1alpha1.Datasource{} | ||
if c != nil { | ||
if err := c.Get(ctx, types.NamespacedName{Name: ref.Name, Namespace: ref.GetNamespace(vs.GetNamespace())}, ds); err != nil { | ||
return nil, nil, err | ||
} | ||
} else { | ||
obj, err := dc.Resource(schema.GroupVersionResource{Group: "arcadia.kubeagi.k8s.com.cn", Version: "v1alpha1", Resource: "datasources"}). | ||
Namespace(ref.GetNamespace(vs.GetNamespace())).Get(ctx, ref.Name, metav1.GetOptions{}) | ||
if err != nil { | ||
return nil, nil, err | ||
} | ||
err = runtime.DefaultUnstructuredConverter.FromUnstructured(obj.UnstructuredContent(), ds) | ||
if err != nil { | ||
return nil, nil, err | ||
} | ||
} | ||
vs.Spec.Endpoint = ds.Spec.Endpoint.DeepCopy() | ||
pool, err := datasource.GetPostgreSQLPool(ctx, c, dc, ds) | ||
if err != nil { | ||
return nil, nil, err | ||
} | ||
conn, err := pool.Acquire(ctx) | ||
if err != nil { | ||
return nil, nil, err | ||
} | ||
klog.V(5).Info("acquire pg conn from pool") | ||
finish = func() { | ||
if conn != nil { | ||
conn.Release() | ||
klog.V(5).Info("release pg conn to pool") | ||
} | ||
} | ||
v.Conn = conn.Conn() | ||
ops = append(ops, pgvector.WithConn(v.Conn)) | ||
} else { | ||
conn, err := pgx.Connect(ctx, vs.Spec.Endpoint.URL) | ||
if err != nil { | ||
return nil, nil, err | ||
} | ||
v.Conn = conn | ||
ops = append(ops, pgvector.WithConn(conn)) | ||
} | ||
if embedder != nil { | ||
ops = append(ops, pgvector.WithEmbedder(embedder)) | ||
} else { | ||
llm, _ := openai.New() | ||
embedder, _ = embeddings.NewEmbedder(llm) | ||
} | ||
ops = append(ops, pgvector.WithEmbedder(embedder)) | ||
if collectionName != "" { | ||
ops = append(ops, pgvector.WithCollectionName(collectionName)) | ||
v.PGVector.CollectionName = collectionName | ||
} else { | ||
ops = append(ops, pgvector.WithCollectionName(vs.Spec.PGVector.CollectionName)) | ||
} | ||
store, err := pgvector.New(ctx, ops...) | ||
if err != nil { | ||
return nil, nil, err | ||
} | ||
v.Store = store | ||
return v, finish, nil | ||
} | ||
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// RemoveExist remove exist document from pgvector | ||
// Note: it is currently assumed that the embedder of a knowledge base is constant that means the result of embedding a fixed document is fixed, | ||
// disregarding the case where the embedder changes (and if it does, a lot of processing will need to be done in many places, not just here) | ||
func (s *PGVectorStore) RemoveExist(ctx context.Context, document []lanchaingoschema.Document) (doc []lanchaingoschema.Document, err error) { | ||
// get collection_uuid from collection_table, if null, means no exits | ||
collectionUUID := "" | ||
sql := fmt.Sprintf(`SELECT uuid FROM %s WHERE name = $1 ORDER BY name limit 1`, s.PGVector.CollectionTableName) | ||
err = s.Conn.QueryRow(ctx, sql, s.PGVector.CollectionName).Scan(&collectionUUID) | ||
if collectionUUID == "" { | ||
return document, err | ||
} | ||
in := make([]string, 0) | ||
for _, d := range document { | ||
in = append(in, d.PageContent) | ||
} | ||
sql = fmt.Sprintf(`SELECT document, metadata FROM %s WHERE collection_id = $1 AND document in ('%s')`, s.PGVector.EmbeddingTableName, strings.Join(in, "', '")) | ||
rows, err := s.Conn.Query(ctx, sql, collectionUUID) | ||
if err != nil { | ||
return nil, err | ||
} | ||
res := make(map[string]lanchaingoschema.Document, 0) | ||
for rows.Next() { | ||
doc := lanchaingoschema.Document{} | ||
if err := rows.Scan(&doc.PageContent, &doc.Metadata); err != nil { | ||
return nil, err | ||
} | ||
res[doc.PageContent] = doc | ||
} | ||
if len(res) == 0 { | ||
return document, nil | ||
} | ||
if len(res) == len(document) { | ||
return nil, nil | ||
} | ||
doc = make([]lanchaingoschema.Document, 0, len(document)) | ||
for _, d := range document { | ||
has, ok := res[d.PageContent] | ||
if !ok || !reflect.DeepEqual(has.Metadata, d.Metadata) { | ||
doc = append(doc, d) | ||
} | ||
} | ||
return doc, nil | ||
} |
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