zlei6/ragflow
1
0
Fork 0
mirror of https://github.com/infiniflow/ragflow.git synced 2026-07-31 13:03:49 +08:00
Code Issues Packages Projects Releases Wiki Activity

Refine handling of POST /api/v1/datasets/search in GO (#15583)

Browse Source 
### What problem does this PR solve?

Refine handling of POST /api/v1/datasets/search in GO

### Type of change

- [x] Refactoring
This commit is contained in:
qinling0210
2026-06-08 11:49:37 +08:00
committed by GitHub
parent 074c331cdf
commit c960dc2a4c
70 changed files with 8580 additions and 1915 deletions
Download Patch File Download Diff File Expand all files Collapse all files

63
internal/cli/cli.go
View File

@@ -421,13 +421,13 @@ const historyFileName = ".ragflow_cli_history"
// CLI represents the command line interface
type CLI struct {
client *RAGFlowClient
contextEngine *filesystem.Engine
prompt string
running bool
line *liner.State
args *ConnectionArgs
outputFormat OutputFormat // Output format
client *RAGFlowClient
contextEngine *filesystem.Engine
prompt string
running bool
line *liner.State
args *ConnectionArgs
outputFormat OutputFormat // Output format
}
// NewCLI creates a new CLI instance
@@ -1072,13 +1072,13 @@ func (c *CLI) printSkillSearchResults(result *filesystem.Result, format OutputFo
// Skill search result structure
type skillSearchResult struct {
SkillID string `json:"skill_id"`
Name string `json:"name"`
Description string `json:"description"`
Tags string `json:"tags"`
Score float64 `json:"score"`
BM25Score float64 `json:"bm25_score"`
VectorScore float64 `json:"vector_score"`
SkillID string `json:"skill_id"`
Name string `json:"name"`
Description string `json:"description"`
Tags string `json:"tags"`
Score float64 `json:"score"`
BM25Score float64 `json:"bm25_score"`
VectorScore float64 `json:"vector_score"`
}
results := make([]skillSearchResult, 0, len(result.Nodes))
@@ -1457,6 +1457,41 @@ Examples:
search "AI" datasets/kb1 # Search in kb1
search "RAG" skills/space1 -n 20 # Search skills in hub1, return 20 results
search "data processing" skills # Search skills (default space)
Datasets syntax (full filter set):
search 'query' on datasets 'kb_names' [with <option> <value> ...] [;]
'kb_names' is a single quoted string. Pass one name for a single
dataset, or a comma-separated list (no spaces) to search across
multiple datasets in one call:
'kb1' # one dataset
'kb1,kb2' # two datasets
'kb1,kb2,kb3' # three datasets
When 'on datasets' is given, the search runs against the named
dataset(s) and accepts the full WITH-option set below.
WITH options (space-separated, not comma-separated):
top_k <int> Number of results (default 5)
page_size <int> Page size for pagination
page <int> Page number (1-based)
similarity_threshold <float> Minimum similarity score (0.0-1.0)
vector_similarity_weight <float> Weight given to vector vs text score
keyword true|false Enable keyword extraction via LLM
use_kg true|false Enable knowledge-graph augmentation
rerank_id 'id' Rerank model to apply
tenant_rerank_id 'id' Tenant-scoped rerank model
search_id 'id' Idempotency / search-session id
meta_data_filter '<json>' Metadata filter (must be valid JSON)
cross_languages ['a','b'] Source languages to translate from
doc_ids ['d1',...] Restrict to specific document ids
Examples:
search 'AI' on datasets 'kb_chinese' with top_k 10;
search 'AI' on datasets 'kb1' 'kb2' with top_k 20 similarity_threshold 0.3 cross_languages ['Chinese']
doc_ids ['d1', 'd2'];
search 'manual' on datasets 'kb1' with
meta_data_filter '{"method":"manual","conditions":[{"key":"author","op":"eq","value":"Luo"}]}';
`
fmt.Println(help)
}