Feat: add skills space to context engine (#13908)

### What problem does this PR solve?

issue #13714

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
This commit is contained in:
Yingfeng
2026-04-30 12:36:03 +08:00
committed by GitHub
parent bb3b99f0a5
commit 4ee0702aed
101 changed files with 19161 additions and 633 deletions
+89 -38
View File
@@ -36,14 +36,28 @@ import (
// CreateDataset creates a table in Infinity
// indexName is the table name prefix (e.g., "ragflow_<tenant_id>")
// The full table name is built as "{indexName}_{datasetID}"
// For skill index (datasetID="skill"), tableName is just indexName and uses skill_infinity_mapping.json
func (e *infinityEngine) CreateDataset(ctx context.Context, indexName, datasetID string, vectorSize int, parserID string) error {
vecSize := vectorSize
// Build full table name: {indexName}_{datasetID}
tableName := fmt.Sprintf("%s_%s", indexName, datasetID)
// Determine table name and mapping file based on index type
var tableName string
var mappingFile string
if datasetID == "skill" {
// Skill index: table name is just indexName (e.g., "skill_abc123_def456")
tableName = indexName
mappingFile = "skill_infinity_mapping.json"
logger.Info("Creating skill index table", zap.String("tableName", tableName), zap.String("mappingFile", mappingFile))
} else {
// Regular document index: table name is {indexName}_{datasetID}
tableName = fmt.Sprintf("%s_%s", indexName, datasetID)
mappingFile = e.mappingFileName
logger.Info("Creating regular index table", zap.String("tableName", tableName), zap.String("mappingFile", mappingFile))
}
// Use configured schema
fpMapping := filepath.Join(utility.GetProjectRoot(), "conf", e.mappingFileName)
fpMapping := filepath.Join(utility.GetProjectRoot(), "conf", mappingFile)
schemaData, err := os.ReadFile(fpMapping)
if err != nil {
@@ -61,54 +75,90 @@ func (e *infinityEngine) CreateDataset(ctx context.Context, indexName, datasetID
return fmt.Errorf("Failed to get database: %w", err)
}
// Determine vector column name
vectorColName := fmt.Sprintf("q_%d_vec", vecSize)
// Check if table already exists
exists, err := e.TableExists(ctx, tableName)
if err != nil {
return fmt.Errorf("Failed to check if table exists: %w", err)
}
var table *infinity.Table
if exists {
return fmt.Errorf("table '%s' already exists", tableName)
}
// Build column definitions (preserving JSON order)
var columns infinity.TableSchema
for _, fieldName := range schema.Keys {
fieldInfo := schema.Fields[fieldName]
col := infinity.ColumnDefinition{
Name: fieldName,
DataType: fieldInfo.Type,
Default: fieldInfo.Default,
// Comment: fieldInfo.Comment,
// Table exists, open it and check if vector column needs to be added
logger.Info("Table already exists, checking for vector column", zap.String("tableName", tableName))
table, err = db.GetTable(tableName)
if err != nil {
return fmt.Errorf("Failed to open existing table %s: %w", tableName, err)
}
columns = append(columns, &col)
}
// Add vector column
vectorColName := fmt.Sprintf("q_%d_vec", vecSize)
columns = append(columns, &infinity.ColumnDefinition{
Name: vectorColName,
DataType: fmt.Sprintf("vector,%d,float", vecSize),
})
// Check if vector column exists (for embedding model changes)
colExists, err := e.columnExists(table, vectorColName)
if err != nil {
logger.Warn("Failed to check column existence", zap.String("column", vectorColName), zap.Error(err))
}
// Add chunk_data column for table parser
if parserID == "table" {
// Add new vector column if it doesn't exist (handles embedding model change)
if !colExists {
logger.Info("Adding new vector column for embedding model change", zap.String("column", vectorColName), zap.Int("size", vecSize))
addColSchema := infinity.TableSchema{
&infinity.ColumnDefinition{
Name: vectorColName,
DataType: fmt.Sprintf("vector,%d,float", vecSize),
},
}
if _, err := table.AddColumns(addColSchema); err != nil {
logger.Error("Failed to add vector column "+vectorColName, err)
return fmt.Errorf("Failed to add vector column %s: %w", vectorColName, err)
}
logger.Info("Successfully added vector column", zap.String("column", vectorColName))
}
} else {
// Table doesn't exist, create it with vector column in the initial schema
logger.Info(fmt.Sprintf("Creating table with vector column: %s with dimension %d", vectorColName, vecSize))
// Build column definitions (preserving JSON order)
var columns infinity.TableSchema
for _, fieldName := range schema.Keys {
fieldInfo := schema.Fields[fieldName]
col := infinity.ColumnDefinition{
Name: fieldName,
DataType: fieldInfo.Type,
Default: fieldInfo.Default,
// Comment: fieldInfo.Comment,
}
columns = append(columns, &col)
}
// Add vector column
columns = append(columns, &infinity.ColumnDefinition{
Name: "chunk_data",
DataType: "json",
Default: "{}",
Name: vectorColName,
DataType: fmt.Sprintf("vector,%d,float", vecSize),
})
// Add chunk_data column for table parser
if parserID == "table" {
columns = append(columns, &infinity.ColumnDefinition{
Name: "chunk_data",
DataType: "json",
Default: "{}",
})
}
// Create table
table, err = db.CreateTable(tableName, columns, infinity.ConflictTypeIgnore)
if err != nil {
return fmt.Errorf("Failed to create table: %w", err)
}
logger.Debug("Infinity created table", zap.String("tableName", tableName))
}
// Create table
table, err := db.CreateTable(tableName, columns, infinity.ConflictTypeIgnore)
if err != nil {
return fmt.Errorf("Failed to create table: %w", err)
}
logger.Debug("Infinity created table", zap.String("tableName", tableName))
// Create HNSW index on vector column
// Create HNSW index on vector column with unique name based on vector size
// Use unique index name to avoid conflict when embedding model changes
vectorIndexName := fmt.Sprintf("q_%d_vec_idx", vecSize)
_, err = table.CreateIndex(
"q_vec_idx",
vectorIndexName,
infinity.NewIndexInfo(vectorColName, infinity.IndexTypeHnsw, map[string]string{
"M": "16",
"ef_construction": "50",
@@ -119,8 +169,9 @@ func (e *infinityEngine) CreateDataset(ctx context.Context, indexName, datasetID
"",
)
if err != nil {
return fmt.Errorf("Failed to create HNSW index: %w", err)
return fmt.Errorf("Failed to create HNSW index %s: %w", vectorIndexName, err)
}
logger.Info("Created vector index", zap.String("indexName", vectorIndexName), zap.String("column", vectorColName))
// Create full-text indexes for varchar fields with analyzers
for _, fieldName := range schema.Keys {