cli/internal/cmd/rag/cmd_query.go
Snider ba7fa42522 feat(rag): add Go RAG implementation with Qdrant + Ollama
Add RAG (Retrieval Augmented Generation) tools for storing documentation
in Qdrant vector database and querying with semantic search. This replaces
the Python tools/rag implementation with a native Go solution.

New commands:
- core rag ingest [directory] - Ingest markdown files into Qdrant
- core rag query [question] - Query vector database with semantic search
- core rag collections - List and manage Qdrant collections

Features:
- Markdown chunking by sections and paragraphs with overlap
- UTF-8 safe text handling for international content
- Automatic category detection from file paths
- Multiple output formats: text, JSON, LLM context injection
- Environment variable support for host configuration

Dependencies:
- github.com/qdrant/go-client (gRPC client)
- github.com/ollama/ollama/api (embeddings API)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 07:42:07 +00:00

107 lines
2.4 KiB
Go

package rag
import (
"context"
"fmt"
"github.com/host-uk/core/pkg/i18n"
"github.com/host-uk/core/pkg/rag"
"github.com/spf13/cobra"
)
var (
queryCollection string
limit int
threshold float32
category string
format string
)
var queryCmd = &cobra.Command{
Use: "query [question]",
Short: i18n.T("cmd.rag.query.short"),
Long: i18n.T("cmd.rag.query.long"),
Args: cobra.ExactArgs(1),
RunE: runQuery,
}
func runQuery(cmd *cobra.Command, args []string) error {
question := args[0]
ctx := context.Background()
// Connect to Qdrant
qdrantClient, err := rag.NewQdrantClient(rag.QdrantConfig{
Host: qdrantHost,
Port: qdrantPort,
UseTLS: false,
})
if err != nil {
return fmt.Errorf("failed to connect to Qdrant: %w", err)
}
defer qdrantClient.Close()
// Connect to Ollama
ollamaClient, err := rag.NewOllamaClient(rag.OllamaConfig{
Host: ollamaHost,
Port: ollamaPort,
Model: model,
})
if err != nil {
return fmt.Errorf("failed to connect to Ollama: %w", err)
}
// Configure query
cfg := rag.QueryConfig{
Collection: queryCollection,
Limit: uint64(limit),
Threshold: threshold,
Category: category,
}
// Run query
results, err := rag.Query(ctx, qdrantClient, ollamaClient, question, cfg)
if err != nil {
return err
}
// Format output
switch format {
case "json":
fmt.Println(rag.FormatResultsJSON(results))
case "context":
fmt.Println(rag.FormatResultsContext(results))
default:
fmt.Println(rag.FormatResultsText(results))
}
return nil
}
// QueryDocs is exported for use by other packages (e.g., MCP).
func QueryDocs(ctx context.Context, question, collectionName string, topK int) ([]rag.QueryResult, error) {
qdrantClient, err := rag.NewQdrantClient(rag.DefaultQdrantConfig())
if err != nil {
return nil, err
}
defer qdrantClient.Close()
ollamaClient, err := rag.NewOllamaClient(rag.DefaultOllamaConfig())
if err != nil {
return nil, err
}
cfg := rag.DefaultQueryConfig()
cfg.Collection = collectionName
cfg.Limit = uint64(topK)
return rag.Query(ctx, qdrantClient, ollamaClient, question, cfg)
}
// QueryDocsContext is exported and returns context-formatted results.
func QueryDocsContext(ctx context.Context, question, collectionName string, topK int) (string, error) {
results, err := QueryDocs(ctx, question, collectionName, topK)
if err != nil {
return "", err
}
return rag.FormatResultsContext(results), nil
}