add example config file

kag/examples/example_config.yaml

@@ -0,0 +1,126 @@
+#------------project configuration start----------------#
+openie_llm: &openie_llm
+  api_key: key
+  base_url: https://api.deepseek.com
+  model: deepseek-chat
+  type: maas
+
+chat_llm: &chat_llm
+  api_key: key
+  base_url: https://api.deepseek.com
+  model: deepseek-chat
+  type: maas
+
+vectorize_model: &vectorize_model
+  api_key: key
+  base_url: https://api.siliconflow.cn/v1/
+  model: BAAI/bge-m3
+  type: openai
+  vector_dimensions: 1024
+vectorizer: *vectorize_model
+
+log:
+  level: INFO
+
+project:
+  biz_scene: default
+  host_addr: http://127.0.0.1:8887
+  id: "1"
+  language: en
+  namespace: TwoWikiTest
+#------------project configuration end----------------#
+
+#------------kag-builder configuration start----------------#
+kag_builder_pipeline:
+  chain:
+    type: unstructured_builder_chain # kag.builder.default_chain.DefaultUnstructuredBuilderChain
+    extractor:
+      type: schema_free_extractor # kag.builder.component.extractor.schema_free_extractor.SchemaFreeExtractor
+      llm: *openie_llm
+      ner_prompt:
+        type: default_ner # kag.builder.prompt.default.ner.OpenIENERPrompt
+      std_prompt:
+        type: default_std # kag.builder.prompt.default.std.OpenIEEntitystandardizationdPrompt
+      triple_prompt:
+        type: default_triple # kag.builder.prompt.default.triple.OpenIETriplePrompt
+    reader:
+      type: dict_reader # kag.builder.component.reader.dict_reader.DictReader
+    post_processor:
+      type: kag_post_processor # kag.builder.component.postprocessor.kag_postprocessor.KAGPostProcessor
+      similarity_threshold: 0.9
+    splitter:
+      type: length_splitter # kag.builder.component.splitter.length_splitter.LengthSplitter
+      split_length: 100000
+      window_length: 0
+    vectorizer:
+      type: batch_vectorizer # kag.builder.component.vectorizer.batch_vectorizer.BatchVectorizer
+      vectorize_model: *vectorize_model
+    writer:
+      type: kg_writer # kag.builder.component.writer.kg_writer.KGWriter
+  num_threads_per_chain: 1
+  num_chains: 16
+  scanner:
+    type: 2wiki_dataset_scanner # kag.builder.component.scanner.dataset_scanner.MusiqueCorpusScanner
+#------------kag-builder configuration end----------------#
+
+#------------kag-solver configuration start----------------#
+search_api: &search_api
+  type: openspg_search_api #kag.solver.tools.search_api.impl.openspg_search_api.OpenSPGSearchAPI
+
+graph_api: &graph_api
+  type: openspg_graph_api #kag.solver.tools.graph_api.impl.openspg_graph_api.OpenSPGGraphApi
+
+exact_kg_retriever: &exact_kg_retriever
+  type: default_exact_kg_retriever # kag.solver.retriever.impl.default_exact_kg_retriever.DefaultExactKgRetriever
+  el_num: 5
+  llm_client: *chat_llm
+  search_api: *search_api
+  graph_api: *graph_api
+
+fuzzy_kg_retriever: &fuzzy_kg_retriever
+  type: default_fuzzy_kg_retriever # kag.solver.retriever.impl.default_fuzzy_kg_retriever.DefaultFuzzyKgRetriever
+  el_num: 5
+  vectorize_model: *vectorize_model
+  llm_client: *chat_llm
+  search_api: *search_api
+  graph_api: *graph_api
+
+chunk_retriever: &chunk_retriever
+  type: default_chunk_retriever # kag.solver.retriever.impl.default_fuzzy_kg_retriever.DefaultFuzzyKgRetriever
+  llm_client: *chat_llm
+  recall_num: 10
+  rerank_topk: 10
+
+kag_solver_pipeline:
+  memory:
+    type: default_memory # kag.solver.implementation.default_memory.DefaultMemory
+    llm_client: *chat_llm
+  max_iterations: 3
+  reasoner:
+    type: default_reasoner # kag.solver.implementation.default_reasoner.DefaultReasoner
+    llm_client: *chat_llm
+    lf_planner:
+      type: default_lf_planner # kag.solver.plan.default_lf_planner.DefaultLFPlanner
+      llm_client: *chat_llm
+      vectorize_model: *vectorize_model
+    lf_executor:
+      type: default_lf_executor # kag.solver.execute.default_lf_executor.DefaultLFExecutor
+      llm_client: *chat_llm
+      force_chunk_retriever: true
+      exact_kg_retriever: *exact_kg_retriever
+      fuzzy_kg_retriever: *fuzzy_kg_retriever
+      chunk_retriever: *chunk_retriever
+      merger:
+        type: default_lf_sub_query_res_merger # kag.solver.execute.default_sub_query_merger.DefaultLFSubQueryResMerger
+        vectorize_model: *vectorize_model
+        chunk_retriever: *chunk_retriever
+  generator:
+    type: default_generator # kag.solver.implementation.default_generator.DefaultGenerator
+    llm_client: *chat_llm
+    generate_prompt:
+      type: resp_simple # kag/examples/2wiki/solver/prompt/resp_generator.py
+  reflector:
+    type: default_reflector # kag.solver.implementation.default_reflector.DefaultReflector
+    llm_client: *chat_llm
+
+#------------kag-solver configuration end----------------#