diff --git a/README-zh.md b/README-zh.md index d0b3ec70541b23234a4ca1779f3cb281e28da49a..bb530a19dcae08689d6557efa9ac6dbf4692672b 100644 --- a/README-zh.md +++ b/README-zh.md @@ -295,15 +295,10 @@ class QueryParam: """Number of top items to retrieve. Represents entities in 'local' mode and relationships in 'global' mode.""" chunk_top_k: int = int(os.getenv("CHUNK_TOP_K", "5")) - """Number of text chunks to retrieve initially from vector search. + """Number of text chunks to retrieve initially from vector search and keep after reranking. If None, defaults to top_k value. """ - chunk_rerank_top_k: int = int(os.getenv("CHUNK_RERANK_TOP_K", "5")) - """Number of text chunks to keep after reranking. - If None, keeps all chunks returned from initial retrieval. - """ - max_entity_tokens: int = int(os.getenv("MAX_ENTITY_TOKENS", "10000")) """Maximum number of tokens allocated for entity context in unified token control system.""" @@ -340,6 +335,11 @@ class QueryParam: """User-provided prompt for the query. If proivded, this will be use instead of the default vaulue from prompt template. """ + + enable_rerank: bool = True + """Enable reranking for retrieved text chunks. If True but no rerank model is configured, a warning will be issued. + Default is True to enable reranking when rerank model is available. + """ ``` > top_k的默认值可以通过环境变量TOP_K更改。 diff --git a/README.md b/README.md index 5be7389d82ab758ab49c4a2c2b0ada53a138abc7..67f042df388de3e68032bc9fd4e7d55d37dd255f 100644 --- a/README.md +++ b/README.md @@ -302,15 +302,10 @@ class QueryParam: """Number of top items to retrieve. Represents entities in 'local' mode and relationships in 'global' mode.""" chunk_top_k: int = int(os.getenv("CHUNK_TOP_K", "5")) - """Number of text chunks to retrieve initially from vector search. + """Number of text chunks to retrieve initially from vector search and keep after reranking. If None, defaults to top_k value. """ - chunk_rerank_top_k: int = int(os.getenv("CHUNK_RERANK_TOP_K", "5")) - """Number of text chunks to keep after reranking. - If None, keeps all chunks returned from initial retrieval. - """ - max_entity_tokens: int = int(os.getenv("MAX_ENTITY_TOKENS", "10000")) """Maximum number of tokens allocated for entity context in unified token control system.""" @@ -341,6 +336,11 @@ class QueryParam: """User-provided prompt for the query. If proivded, this will be use instead of the default vaulue from prompt template. """ + + enable_rerank: bool = True + """Enable reranking for retrieved text chunks. If True but no rerank model is configured, a warning will be issued. + Default is True to enable reranking when rerank model is available. + """ ``` > default value of Top_k can be change by environment variables TOP_K. diff --git a/env.example b/env.example index 50b68c1fd1dae98ccd42f0bba9d92466a77af514..7f431fec008233742489fda4f653e4bbcada6946 100644 --- a/env.example +++ b/env.example @@ -58,14 +58,13 @@ OLLAMA_EMULATING_MODEL_TAG=latest # COSINE_THRESHOLD=0.2 ### Number of entities or relations to retrieve from KG # TOP_K=60 -### Number of text chunks to retrieve initially from vector search +### Number of text chunks to retrieve initially from vector search and keep after reranking # CHUNK_TOP_K=5 ### Rerank Configuration -# ENABLE_RERANK=False -### Number of text chunks to keep after reranking (should be <= CHUNK_TOP_K) -# CHUNK_RERANK_TOP_K=5 -### Rerank model configuration (required when ENABLE_RERANK=True) +### Note: Reranking is now controlled per query via the 'enable_rerank' parameter (default: true) +### The following configuration is only needed when you want to use reranking +### Rerank model configuration (required when enable_rerank=true in query parameters) # RERANK_MODEL=BAAI/bge-reranker-v2-m3 # RERANK_BINDING_HOST=https://api.your-rerank-provider.com/v1/rerank # RERANK_BINDING_API_KEY=your_rerank_api_key_here diff --git a/lightrag/api/config.py b/lightrag/api/config.py index e8a9cea38945a34c8894b999e1dc7aa4f6a2e3ce..14168598d859db97f7226a7b09e6f426cc31f851 100644 --- a/lightrag/api/config.py +++ b/lightrag/api/config.py @@ -168,20 +168,8 @@ def parse_args() -> argparse.Namespace: parser.add_argument( "--chunk-top-k", type=int, - default=get_env_value("CHUNK_TOP_K", 15, int), - help="Number of text chunks to retrieve initially from vector search (default: from env or 15)", - ) - parser.add_argument( - "--chunk-rerank-top-k", - type=int, - default=get_env_value("CHUNK_RERANK_TOP_K", 5, int), - help="Number of text chunks to keep after reranking (default: from env or 5)", - ) - parser.add_argument( - "--enable-rerank", - action="store_true", - default=get_env_value("ENABLE_RERANK", False, bool), - help="Enable rerank functionality (default: from env or False)", + default=get_env_value("CHUNK_TOP_K", 5, int), + help="Number of text chunks to retrieve initially from vector search and keep after reranking (default: from env or 5)", ) parser.add_argument( "--cosine-threshold", diff --git a/lightrag/api/lightrag_server.py b/lightrag/api/lightrag_server.py index bd0154c90fdd8957f99671b214ebd313fa6ac0cc..573455e5560f26fdd38d08c37d2eff530680b6ca 100644 --- a/lightrag/api/lightrag_server.py +++ b/lightrag/api/lightrag_server.py @@ -292,9 +292,9 @@ def create_app(args): ), ) - # Configure rerank function if enabled + # Configure rerank function if model and API are configured rerank_model_func = None - if args.enable_rerank and args.rerank_binding_api_key and args.rerank_binding_host: + if args.rerank_binding_api_key and args.rerank_binding_host: from lightrag.rerank import custom_rerank async def server_rerank_func( @@ -312,10 +312,12 @@ def create_app(args): ) rerank_model_func = server_rerank_func - logger.info(f"Rerank enabled with model: {args.rerank_model}") - elif args.enable_rerank: - logger.warning( - "Rerank enabled but RERANK_BINDING_API_KEY or RERANK_BINDING_HOST not configured. Rerank will be disabled." + logger.info( + f"Rerank model configured: {args.rerank_model} (can be enabled per query)" + ) + else: + logger.info( + "Rerank model not configured. Set RERANK_BINDING_API_KEY and RERANK_BINDING_HOST to enable reranking." ) # Initialize RAG @@ -351,7 +353,6 @@ def create_app(args): }, enable_llm_cache_for_entity_extract=args.enable_llm_cache_for_extract, enable_llm_cache=args.enable_llm_cache, - enable_rerank=args.enable_rerank, rerank_model_func=rerank_model_func, auto_manage_storages_states=False, max_parallel_insert=args.max_parallel_insert, @@ -381,7 +382,6 @@ def create_app(args): }, enable_llm_cache_for_entity_extract=args.enable_llm_cache_for_extract, enable_llm_cache=args.enable_llm_cache, - enable_rerank=args.enable_rerank, rerank_model_func=rerank_model_func, auto_manage_storages_states=False, max_parallel_insert=args.max_parallel_insert, @@ -512,11 +512,13 @@ def create_app(args): "enable_llm_cache": args.enable_llm_cache, "workspace": args.workspace, "max_graph_nodes": args.max_graph_nodes, - # Rerank configuration - "enable_rerank": args.enable_rerank, - "rerank_model": args.rerank_model if args.enable_rerank else None, + # Rerank configuration (based on whether rerank model is configured) + "enable_rerank": rerank_model_func is not None, + "rerank_model": args.rerank_model + if rerank_model_func is not None + else None, "rerank_binding_host": args.rerank_binding_host - if args.enable_rerank + if rerank_model_func is not None else None, }, "auth_mode": auth_mode, diff --git a/lightrag/api/routers/query_routes.py b/lightrag/api/routers/query_routes.py index 4005b599c511088fbf683806282ec739a011d834..4d97f151f028a9b4d8240d3977a2c2a377bacb86 100644 --- a/lightrag/api/routers/query_routes.py +++ b/lightrag/api/routers/query_routes.py @@ -52,13 +52,7 @@ class QueryRequest(BaseModel): chunk_top_k: Optional[int] = Field( ge=1, default=None, - description="Number of text chunks to retrieve initially from vector search.", - ) - - chunk_rerank_top_k: Optional[int] = Field( - ge=1, - default=None, - description="Number of text chunks to keep after reranking.", + description="Number of text chunks to retrieve initially from vector search and keep after reranking.", ) max_entity_tokens: Optional[int] = Field( @@ -99,6 +93,11 @@ class QueryRequest(BaseModel): description="User-provided prompt for the query. If provided, this will be used instead of the default value from prompt template.", ) + enable_rerank: Optional[bool] = Field( + default=None, + description="Enable reranking for retrieved text chunks. If True but no rerank model is configured, a warning will be issued. Default is True.", + ) + @field_validator("query", mode="after") @classmethod def query_strip_after(cls, query: str) -> str: diff --git a/lightrag/api/webui/assets/_basePickBy-DR8u580m.js b/lightrag/api/webui/assets/_basePickBy-DR8u580m.js new file mode 100644 index 0000000000000000000000000000000000000000..57f7d82df4aadf14048df086481cb781f0f0a7d4 Binary files /dev/null and b/lightrag/api/webui/assets/_basePickBy-DR8u580m.js differ diff --git a/lightrag/api/webui/assets/_basePickBy-DdjSt9r0.js b/lightrag/api/webui/assets/_basePickBy-DdjSt9r0.js deleted file mode 100644 index 3a371f8c500be6be6356bf87bda3ac40e1528949..0000000000000000000000000000000000000000 Binary files a/lightrag/api/webui/assets/_basePickBy-DdjSt9r0.js and /dev/null differ diff --git a/lightrag/api/webui/assets/_baseUniq-DdWiKhjG.js b/lightrag/api/webui/assets/_baseUniq-CKkyFsDq.js similarity index 82% rename from lightrag/api/webui/assets/_baseUniq-DdWiKhjG.js rename to lightrag/api/webui/assets/_baseUniq-CKkyFsDq.js 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b/lightrag/api/webui/logo.svg index fd32836ba94e05934a73fa226e638889792b5e38..6ffd06015d4a391599bfca7df4896eeb1059727f 100755 Binary files a/lightrag/api/webui/logo.svg and b/lightrag/api/webui/logo.svg differ diff --git a/lightrag/base.py b/lightrag/base.py index 67d641cad403120cfce9c803a7455ae1f2c4a18d..4a2d1b40e4610702c5134eee5ffcaa95525d583c 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -61,15 +61,10 @@ class QueryParam: """Number of top items to retrieve. Represents entities in 'local' mode and relationships in 'global' mode.""" chunk_top_k: int = int(os.getenv("CHUNK_TOP_K", "5")) - """Number of text chunks to retrieve initially from vector search. + """Number of text chunks to retrieve initially from vector search and keep after reranking. If None, defaults to top_k value. """ - chunk_rerank_top_k: int = int(os.getenv("CHUNK_RERANK_TOP_K", "5")) - """Number of text chunks to keep after reranking. - If None, keeps all chunks returned from initial retrieval. - """ - max_entity_tokens: int = int(os.getenv("MAX_ENTITY_TOKENS", "10000")) """Maximum number of tokens allocated for entity context in unified token control system.""" @@ -107,6 +102,11 @@ class QueryParam: If proivded, this will be use instead of the default vaulue from prompt template. """ + enable_rerank: bool = True + """Enable reranking for retrieved text chunks. If True but no rerank model is configured, a warning will be issued. + Default is True to enable reranking when rerank model is available. + """ + @dataclass class StorageNameSpace(ABC): diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index b6cca32ad41bcad85745e2a5e4accf270010e6a4..81bac69c22f3797429ff6cb483832f4c6b753c75 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -243,11 +243,6 @@ class LightRAG: # Rerank Configuration # --- - enable_rerank: bool = field( - default=bool(os.getenv("ENABLE_RERANK", "False").lower() == "true") - ) - """Enable reranking for improved retrieval quality. Defaults to False.""" - rerank_model_func: Callable[..., object] | None = field(default=None) """Function for reranking retrieved documents. All rerank configurations (model name, API keys, top_k, etc.) should be included in this function. Optional.""" @@ -459,9 +454,9 @@ class LightRAG: ) # Init Rerank - if self.enable_rerank and self.rerank_model_func: + if self.rerank_model_func: logger.info("Rerank model initialized for improved retrieval quality") - elif self.enable_rerank and not self.rerank_model_func: + else: logger.warning( "Rerank is enabled but no rerank_model_func provided. Reranking will be skipped." ) diff --git a/lightrag/operate.py b/lightrag/operate.py index 98c045fb45e074ce30052aedc7c2b61905a09142..994acaa3fb5e725498abe54e0b6ed6af161ab004 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -1976,6 +1976,14 @@ async def _build_query_context( # Truncate entities based on complete JSON serialization if entities_context: original_entity_count = len(entities_context) + + # Process entities context to replace GRAPH_FIELD_SEP with : in file_path fields + for entity in entities_context: + if "file_path" in entity and entity["file_path"]: + entity["file_path"] = entity["file_path"].replace( + GRAPH_FIELD_SEP, ";" + ) + entities_context = truncate_list_by_token_size( entities_context, key=lambda x: json.dumps(x, ensure_ascii=False), @@ -1990,6 +1998,14 @@ async def _build_query_context( # Truncate relations based on complete JSON serialization if relations_context: original_relation_count = len(relations_context) + + # Process relations context to replace GRAPH_FIELD_SEP with : in file_path fields + for relation in relations_context: + if "file_path" in relation and relation["file_path"]: + relation["file_path"] = relation["file_path"].replace( + GRAPH_FIELD_SEP, ";" + ) + relations_context = truncate_list_by_token_size( relations_context, key=lambda x: json.dumps(x, ensure_ascii=False), @@ -3025,6 +3041,7 @@ async def apply_rerank_if_enabled( query: str, retrieved_docs: list[dict], global_config: dict, + enable_rerank: bool = True, top_k: int = None, ) -> list[dict]: """ @@ -3034,18 +3051,19 @@ async def apply_rerank_if_enabled( query: The search query retrieved_docs: List of retrieved documents global_config: Global configuration containing rerank settings + enable_rerank: Whether to enable reranking from query parameter top_k: Number of top documents to return after reranking Returns: Reranked documents if rerank is enabled, otherwise original documents """ - if not global_config.get("enable_rerank", False) or not retrieved_docs: + if not enable_rerank or not retrieved_docs: return retrieved_docs rerank_func = global_config.get("rerank_model_func") if not rerank_func: - logger.debug( - "Rerank is enabled but no rerank function provided, skipping rerank" + logger.warning( + "Rerank is enabled but no rerank model is configured. Please set up a rerank model or set enable_rerank=False in query parameters." ) return retrieved_docs @@ -3115,12 +3133,13 @@ async def process_chunks_unified( ) # 2. Apply reranking if enabled and query is provided - if global_config.get("enable_rerank", False) and query and unique_chunks: - rerank_top_k = query_param.chunk_rerank_top_k or len(unique_chunks) + if query_param.enable_rerank and query and unique_chunks: + rerank_top_k = query_param.chunk_top_k or len(unique_chunks) unique_chunks = await apply_rerank_if_enabled( query=query, retrieved_docs=unique_chunks, global_config=global_config, + enable_rerank=query_param.enable_rerank, top_k=rerank_top_k, ) logger.debug(f"Rerank: {len(unique_chunks)} chunks (source: {source_type})") diff --git a/lightrag_webui/src/api/lightrag.ts b/lightrag_webui/src/api/lightrag.ts index 1ecde87b6e65d0ca66a6cb0cc409e0c4c7aca919..a050e1c773b0bb6cae87e5b762c0944576cda22e 100644 --- a/lightrag_webui/src/api/lightrag.ts +++ b/lightrag_webui/src/api/lightrag.ts @@ -106,10 +106,8 @@ export type QueryRequest = { stream?: boolean /** Number of top items to retrieve. Represents entities in 'local' mode and relationships in 'global' mode. */ top_k?: number - /** Maximum number of text chunks to retrieve and process. */ + /** Maximum number of text chunks to retrieve and keep after reranking. */ chunk_top_k?: number - /** Number of text chunks to keep after reranking. */ - chunk_rerank_top_k?: number /** Maximum number of tokens allocated for entity context in unified token control system. */ max_entity_tokens?: number /** Maximum number of tokens allocated for relationship context in unified token control system. */ @@ -125,6 +123,8 @@ export type QueryRequest = { history_turns?: number /** User-provided prompt for the query. If provided, this will be used instead of the default value from prompt template. */ user_prompt?: string + /** Enable reranking for retrieved text chunks. If True but no rerank model is configured, a warning will be issued. Default is True. */ + enable_rerank?: boolean } export type QueryResponse = { diff --git a/lightrag_webui/src/components/retrieval/QuerySettings.tsx b/lightrag_webui/src/components/retrieval/QuerySettings.tsx index 909de6a77b08514c6881537be0fbc78af665c126..68651fae17fa5e87735c31f20dafaf00ebc2cbf8 100644 --- a/lightrag_webui/src/components/retrieval/QuerySettings.tsx +++ b/lightrag_webui/src/components/retrieval/QuerySettings.tsx @@ -120,7 +120,6 @@ export default function QuerySettings() {
- {/* Removed sr-only label */} - {/* Chunk Rerank Top K */} + {/* Max Entity Tokens */} <> - -

{t('retrievePanel.querySettings.chunkRerankTopKTooltip')}

+

{t('retrievePanel.querySettings.maxEntityTokensTooltip')}
{ const value = e.target.value - handleChange('chunk_rerank_top_k', value === '' ? '' : parseInt(value) || 0) + handleChange('max_entity_tokens', value === '' ? '' : parseInt(value) || 0) }} onBlur={(e) => { const value = e.target.value if (value === '' || isNaN(parseInt(value))) { - handleChange('chunk_rerank_top_k', 1) + handleChange('max_entity_tokens', 1000) } }} min={1} - placeholder={t('retrievePanel.querySettings.chunkRerankTopKPlaceholder')} + placeholder={t('retrievePanel.querySettings.maxEntityTokensPlaceholder')} />
- {/* Max Tokens */} + {/* Max Relation Tokens */} <> - <> - - - - - - -

{t('retrievePanel.querySettings.maxEntityTokensTooltip')}

- - - -
- { - const value = e.target.value - handleChange('max_entity_tokens', value === '' ? '' : parseInt(value) || 0) - }} - onBlur={(e) => { - const value = e.target.value - if (value === '' || isNaN(parseInt(value))) { - handleChange('max_entity_tokens', 1) - } - }} - min={1} - placeholder={t('retrievePanel.querySettings.maxEntityTokens')} - /> -
- - - <> - - - - - - -

{t('retrievePanel.querySettings.maxRelationTokensTooltip')}

- - - -
- { - const value = e.target.value - handleChange('max_relation_tokens', value === '' ? '' : parseInt(value) || 0) - }} - onBlur={(e) => { - const value = e.target.value - if (value === '' || isNaN(parseInt(value))) { - handleChange('max_relation_tokens', 1) - } - }} - min={1} - placeholder={t('retrievePanel.querySettings.maxRelationTokens')} - /> -
- + + + + + + +

{t('retrievePanel.querySettings.maxRelationTokensTooltip')}

+ + + +
+ { + const value = e.target.value + handleChange('max_relation_tokens', value === '' ? '' : parseInt(value) || 0) + }} + onBlur={(e) => { + const value = e.target.value + if (value === '' || isNaN(parseInt(value))) { + handleChange('max_relation_tokens', 1000) + } + }} + min={1} + placeholder={t('retrievePanel.querySettings.maxRelationTokensPlaceholder')} + /> +
+ - <> - - - - - - -

{t('retrievePanel.querySettings.maxTotalTokensTooltip')}

- - - -
- { - const value = e.target.value - handleChange('max_total_tokens', value === '' ? '' : parseInt(value) || 0) - }} - onBlur={(e) => { - const value = e.target.value - if (value === '' || isNaN(parseInt(value))) { - handleChange('max_total_tokens', 1) - } - }} - min={1} - placeholder={t('retrievePanel.querySettings.maxTotalTokens')} - /> -
- + {/* Max Total Tokens */} + <> + + + + + + +

{t('retrievePanel.querySettings.maxTotalTokensTooltip')}

+ + + +
+ { + const value = e.target.value + handleChange('max_total_tokens', value === '' ? '' : parseInt(value) || 0) + }} + onBlur={(e) => { + const value = e.target.value + if (value === '' || isNaN(parseInt(value))) { + handleChange('max_total_tokens', 1000) + } + }} + min={1} + placeholder={t('retrievePanel.querySettings.maxTotalTokensPlaceholder')} + /> +
{/* History Turns */} @@ -331,7 +295,6 @@ export default function QuerySettings() {
- {/* Removed sr-only label */} handleChange('stream', checked)} />
+ +
+ + + + + + +

{t('retrievePanel.querySettings.enableRerankTooltip')}

+ + + + handleChange('enable_rerank', checked)} + /> +
+
diff --git a/lightrag_webui/src/locales/ar.json b/lightrag_webui/src/locales/ar.json index deca4edc67d5d5be6a77ebd8ff3945e75495f7a7..939f6869371849fb3052de14bdf7c5c31eeb2aab 100644 --- a/lightrag_webui/src/locales/ar.json +++ b/lightrag_webui/src/locales/ar.json @@ -389,7 +389,9 @@ "streamResponseTooltip": "إذا كان صحيحًا، يتيح إخراج التدفق للردود في الوقت الفعلي", "userPrompt": "مطالبة مخصصة", "userPromptTooltip": "تقديم متطلبات استجابة إضافية إلى نموذج اللغة الكبير (غير متعلقة بمحتوى الاستعلام، فقط لمعالجة المخرجات).", - "userPromptPlaceholder": "أدخل مطالبة مخصصة (اختياري)" + "userPromptPlaceholder": "أدخل مطالبة مخصصة (اختياري)", + "enableRerank": "تمكين إعادة الترتيب", + "enableRerankTooltip": "تمكين إعادة ترتيب أجزاء النص المسترجعة. إذا كان True ولكن لم يتم تكوين نموذج إعادة الترتيب، فسيتم إصدار تحذير. افتراضي True." } }, "apiSite": { diff --git a/lightrag_webui/src/locales/en.json b/lightrag_webui/src/locales/en.json index 4a55ab40202149b7a23f96da5ac1a71c513aa173..bbc41334c135551a9b454b63a65a2ee1d52d581f 100644 --- a/lightrag_webui/src/locales/en.json +++ b/lightrag_webui/src/locales/en.json @@ -389,7 +389,9 @@ "streamResponseTooltip": "If True, enables streaming output for real-time responses", "userPrompt": "User Prompt", "userPromptTooltip": "Provide additional response requirements to the LLM (unrelated to query content, only for output processing).", - "userPromptPlaceholder": "Enter custom prompt (optional)" + "userPromptPlaceholder": "Enter custom prompt (optional)", + "enableRerank": "Enable Rerank", + "enableRerankTooltip": "Enable reranking for retrieved text chunks. If True but no rerank model is configured, a warning will be issued. Default is True." } }, "apiSite": { diff --git a/lightrag_webui/src/locales/fr.json b/lightrag_webui/src/locales/fr.json index 1395fa75a51551f200813fe45a2f23b94fbee8d3..8f551e49b36136bd1cfc449cad974f35aa2c02d8 100644 --- a/lightrag_webui/src/locales/fr.json +++ b/lightrag_webui/src/locales/fr.json @@ -389,7 +389,9 @@ "streamResponseTooltip": "Si vrai, active la sortie en flux pour des réponses en temps réel", "userPrompt": "Invite personnalisée", "userPromptTooltip": "Fournir des exigences de réponse supplémentaires au LLM (sans rapport avec le contenu de la requête, uniquement pour le traitement de sortie).", - "userPromptPlaceholder": "Entrez une invite personnalisée (facultatif)" + "userPromptPlaceholder": "Entrez une invite personnalisée (facultatif)", + "enableRerank": "Activer le Reclassement", + "enableRerankTooltip": "Active le reclassement pour les fragments de texte récupérés. Si True mais qu'aucun modèle de reclassement n'est configuré, un avertissement sera émis. True par défaut." } }, "apiSite": { diff --git a/lightrag_webui/src/locales/zh.json b/lightrag_webui/src/locales/zh.json index 430336c329e089f2e816bf418ea9263846292326..c9bad472cfd34b3072bc13b5672da39c2cbe4f8d 100644 --- a/lightrag_webui/src/locales/zh.json +++ b/lightrag_webui/src/locales/zh.json @@ -389,7 +389,9 @@ "streamResponseTooltip": "如果为True，启用实时流式输出响应", "userPrompt": "用户提示词", "userPromptTooltip": "向LLM提供额外的响应要求（与查询内容无关，仅用于处理输出）。", - "userPromptPlaceholder": "输入自定义提示词（可选）" + "userPromptPlaceholder": "输入自定义提示词（可选）", + "enableRerank": "启用重排", + "enableRerankTooltip": "为检索到的文本块启用重排。如果为True但未配置重排模型，将发出警告。默认为True。" } }, "apiSite": { diff --git a/lightrag_webui/src/locales/zh_TW.json b/lightrag_webui/src/locales/zh_TW.json index acb85ce61dd1d2e68289ffda7c3cc2ca9ddd0066..0d179408c157c82ada33bac3c7d02e2912e23bff 100644 --- a/lightrag_webui/src/locales/zh_TW.json +++ b/lightrag_webui/src/locales/zh_TW.json @@ -384,6 +384,8 @@ "userPrompt": "用戶提示詞", "userPromptTooltip": "向LLM提供額外的響應要求（與查詢內容無關，僅用於處理輸出）。", "userPromptPlaceholder": "輸入自定義提示詞（可選）", + "enableRerank": "啟用重排", + "enableRerankTooltip": "為檢索到的文本塊啟用重排。如果為True但未配置重排模型，將發出警告。默認為True。", "maxEntityTokens": "實體令牌數上限", "maxEntityTokensTooltip": "統一令牌控制系統中分配給實體上下文的最大令牌數", "maxRelationTokens": "關係令牌數上限", diff --git a/lightrag_webui/src/stores/settings.ts b/lightrag_webui/src/stores/settings.ts index b22a906f39c49ed1a54c44f742b9433007c64a8a..0a04fbf005f242e389fef1791e4b02779d67bade 100644 --- a/lightrag_webui/src/stores/settings.ts +++ b/lightrag_webui/src/stores/settings.ts @@ -112,7 +112,6 @@ const useSettingsStoreBase = create()( response_type: 'Multiple Paragraphs', top_k: 10, chunk_top_k: 5, - chunk_rerank_top_k: 5, max_entity_tokens: 10000, max_relation_tokens: 10000, max_total_tokens: 32000, @@ -122,7 +121,8 @@ const useSettingsStoreBase = create()( history_turns: 3, hl_keywords: [], ll_keywords: [], - user_prompt: '' + user_prompt: '', + enable_rerank: true }, setTheme: (theme: Theme) => set({ theme }), @@ -269,7 +269,6 @@ const useSettingsStoreBase = create()( response_type: 'Multiple Paragraphs', top_k: 10, chunk_top_k: 5, - chunk_rerank_top_k: 5, max_entity_tokens: 10000, max_relation_tokens: 10000, max_total_tokens: 32000, @@ -279,7 +278,8 @@ const useSettingsStoreBase = create()( history_turns: 3, hl_keywords: [], ll_keywords: [], - user_prompt: '' + user_prompt: '', + enable_rerank: true } } return state