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Functions463 in github.com/circlemind-ai/fast-graphrag

⨍ Functions 463◇ Types & classes 132↳ Endpoints 50

↓ 1 callersMethodencode

Generates embeddings for a list of texts using batched processing. Args: texts: List of strings to embed mode

examples/gemini_vertexai_llm.py:85

↓ 1 callersMethodfilter_new_chunks

Filter the chunks to check for duplicates. This method takes a sequence of chunks and returns a sequence of new chunks that are not a

fast_graphrag/_services/_base.py:104

↓ 1 callersFunctionformat_and_send_prompt

Get a prompt, format it with the supplied args, and send it to the LLM.

benchmarks/vdb_benchmark.py:24

↓ 1 callersMethodget_chunk

(self, id: int)

fast_graphrag/_types.py:370

↓ 1 callersMethodget_context

Retrieve relevant state from the storage.

fast_graphrag/_services/_base.py:129

↓ 1 callersMethodget_context

Get the most similar embeddings to the query.

benchmarks/vdb_benchmark.py:66

↓ 1 callersFunctionget_corpus

Get the corpus from the dataset.

benchmarks/graph_benchmark.py:39

↓ 1 callersFunctionget_corpus

Get the corpus from the dataset.

benchmarks/nano_benchmark.py:43

↓ 1 callersFunctionget_corpus

Get the corpus from the dataset.

benchmarks/lightrag_benchmark.py:43

↓ 1 callersFunctionget_corpus

Get the corpus from the dataset.

benchmarks/vdb_benchmark.py:209

↓ 1 callersMethodget_doc

(self, id: int)

fast_graphrag/_types.py:390

↓ 1 callersMethodget_edge_by_index

(self, index: TIndex)

fast_graphrag/_storage/_gdb_igraph.py:85

↓ 1 callersMethodget_num_chunks

Get the number of chunks in the storage.

fast_graphrag/_services/_base.py:143

↓ 1 callersMethodget_num_entities

Get the number of entities in the storage.

fast_graphrag/_services/_base.py:135

↓ 1 callersMethodget_num_relations

Get the number of relations in the storage.

fast_graphrag/_services/_base.py:139

↓ 1 callersFunctionget_queries

Get the queries from the dataset.

benchmarks/graph_benchmark.py:60

↓ 1 callersFunctionget_queries

Get the queries from the dataset.

benchmarks/nano_benchmark.py:64

↓ 1 callersFunctionget_queries

Get the queries from the dataset.

benchmarks/lightrag_benchmark.py:64

↓ 1 callersFunctionget_queries

Get the queries from the dataset.

benchmarks/vdb_benchmark.py:230

↓ 1 callersMethodinsert_done

fast_graphrag/_storage/_base.py:70

↓ 1 callersMethodinsert_done

Commit the storage operations after indexing.

fast_graphrag/_services/_base.py:92

↓ 1 callersMethodinsert_start

fast_graphrag/_storage/_base.py:36

↓ 1 callersMethodinsert_start

Prepare the storage for indexing before adding new data.

fast_graphrag/_services/_base.py:88

↓ 1 callersMethodinsert_start

fast_graphrag/_services/_state_manager.py:352

↓ 1 callersFunctionload_dataset

Load a dataset from the datasets folder.

benchmarks/graph_benchmark.py:28

↓ 1 callersFunctionload_dataset

Load a dataset from the datasets folder.

benchmarks/nano_benchmark.py:32

↓ 1 callersFunctionload_dataset

Load a dataset from the datasets folder.

benchmarks/lightrag_benchmark.py:32

↓ 1 callersFunctionload_dataset

Load a dataset from the datasets folder.

benchmarks/vdb_benchmark.py:198

↓ 1 callersFunctionmain

examples/gemini_example.py:111

↓ 1 callersMethodnode_count

fast_graphrag/_storage/_gdb_igraph.py:40

↓ 1 callersFunctionprocess_text

Process text file with encoding handling

examples/gemini_example.py:49

↓ 1 callersMethodquery

(self, query: str, params: Optional[QueryParam] = None, response_model = None)

fast_graphrag/_graphrag.py:146

↓ 1 callersFunctionquery_from_vdb

Query the vector storage.

benchmarks/vdb_benchmark.py:171

↓ 1 callersMethodquery_start

fast_graphrag/_services/_state_manager.py:316

↓ 1 callersMethodsave_graphml

Save the graph in GraphML format.

fast_graphrag/_graphrag.py:222

↓ 1 callersFunctionstreaming_query_loop

Basic query loop for repeated questions

examples/gemini_example.py:78

↓ 1 callersFunctionsummarize_entity_description

Summarize the given entity description.

fast_graphrag/_policies/_graph_upsert.py:18

↓ 1 callersMethodto_str

fast_graphrag/_types.py:126

↓ 1 callersMethodupsert

( self, ids: Iterable[GTId], embeddings: Iterable[GTEmbedding], metadata: Unio

fast_graphrag/_storage/_base.py:177

↓ 1 callersFunctionupsert_to_vdb

Upsert data to the vector storage.

benchmarks/vdb_benchmark.py:162

(self: Workspace)

tests/_storage/_namespace_test.py:13

(self: Workspace)

tests/_storage/_namespace_test.py:94

Method__aenter__

fast_graphrag/_llm/_base.py:148

Method__aexit__

(self, exc_type: Any, exc: Any, tb: Any)

fast_graphrag/_llm/_base.py:151

( self, llm: BaseLLMService, target: BaseGraphStorage[GTNode, GTEdge, GTId], source_nodes: Iterable[GT

fast_graphrag/_policies/_base.py:23

( self, llm: BaseLLMService, target: BaseGraphStorage[GTNode, GTEdge, GTId], source_edges: Iterable[GT

fast_graphrag/_policies/_base.py:31

( self, llm: BaseLLMService, target: BaseGraphStorage[GTNode, GTEdge, GTId], s

fast_graphrag/_policies/_base.py:48

(self, scores: csr_matrix)

fast_graphrag/_policies/_base.py:68

(self, scores: csr_matrix)

fast_graphrag/_policies/_ranking.py:17

(self, scores: csr_matrix)

fast_graphrag/_policies/_ranking.py:35

(self, scores: csr_matrix)

fast_graphrag/_policies/_ranking.py:48

(self, scores: csr_matrix)

fast_graphrag/_policies/_ranking.py:67

( self, llm: BaseLLMService, target: BaseGraphStorage[GTNode, GTEdge, GTId], source_nodes: Iterable[GT

fast_graphrag/_policies/_graph_upsert.py:63

( self, llm: BaseLLMService, target: BaseGraphStorage[GTNode, GTEdge, GTId], source_edges: Iterable[GT

fast_graphrag/_policies/_graph_upsert.py:80

( self, llm: BaseLLMService, target: BaseGraphStorage[GTNode, GTEdge, GTId], s

fast_graphrag/_policies/_graph_upsert.py:95

( self, llm: BaseLLMService, target: BaseGraphStorage[TEntity, GTEdge, TId], source_nodes: Iterable[TE

fast_graphrag/_policies/_graph_upsert.py:128

( self, llm: BaseLLMService, target: BaseGraphStorage[GTNode, TRelation, TId], source_edges: Iterable[

fast_graphrag/_policies/_graph_upsert.py:189

( self, llm: BaseLLMService, target: BaseGraphStorage[GTNode, TRelation, TId], source_edges: Iterable[

fast_graphrag/_policies/_graph_upsert.py:331

fast_graphrag/_storage/_namespace.py:40

(self, field1, field2)

tests/_models_test.py:76

(self, message: str = "Invalid usage of the storage")

fast_graphrag/_exceptions.py:12

(self, message: str = "LLM service did not provide a response")

fast_graphrag/_exceptions.py:20

(self, working_dir: str, checkpoint: int = 0, keep_n: int = 0)

fast_graphrag/_storage/_namespace.py:23

(self, workspace: Workspace, namespace: Optional[str] = None)

fast_graphrag/_storage/_namespace.py:103

Create vector storage with HNSW.

benchmarks/vdb_benchmark.py:47

Create the LLM service.

benchmarks/vdb_benchmark.py:149

( cls, name: str, bases: tuple[type[Any], ...], dct: Dict[str, Any], alias: Optional[str] = None, **kw

fast_graphrag/_models.py:19

Method__post__init__

fast_graphrag/_services/_base.py:33

Method__post_init__

tests/_graphrag_test.py:22

Method__post_init__

Initialize the Vertex AI embedding model.

examples/gemini_vertexai_llm.py:80

Method__post_init__

Initialize after dataclass initialization.

examples/gemini_vertexai_llm.py:154

Method__post_init__

Initialize the GraphRAG Config class.

fast_graphrag/__init__.py:95

Method__post_init__

Initialize the GraphRAG class.

fast_graphrag/__init__.py:101

Method__post_init__

fast_graphrag/_llm/_llm_voyage.py:32

Method__post_init__

fast_graphrag/_llm/_llm_openai.py:40

Method__post_init__

fast_graphrag/_llm/_llm_openai.py:167

Method__post_init__

Post-initialization. • Sets up concurrency semaphores and rate limiters based on the provided configuration. • Instantiates the appropriate a

fast_graphrag/_llm/_llm_genai.py:123

Method__post_init__

Post-initialization. • Sets up concurrency semaphores and rate limiters for embedding requests. • Instantiates the asynchronous client for em

fast_graphrag/_llm/_llm_genai.py:348

Method__post_init__

fast_graphrag/_policies/_base.py:44

Method__post_init__

fast_graphrag/_services/_state_manager.py:41

Method__post_init__

fast_graphrag/_services/_chunk_extraction.py:42

fast_graphrag/_types.py:113

fast_graphrag/_services/_state_manager.py:325

benchmarks/vdb_benchmark.py:77

Method_format_and_send_prompt

(format_kwargs, **kwargs)

tests/_policies/_graph_upsert_test.py:277

Method_get_graphs

( fgraph: asyncio.Future[Optional[BaseGraphStorage[TEntity, TRelation, TId]]], )

fast_graphrag/_services/_state_manager.py:87

Method_insert_done

fast_graphrag/_storage/_blob_pickle.py:41

Method_insert_done

fast_graphrag/_storage/_ikv_pickle.py:104

Method_insert_done

fast_graphrag/_storage/_gdb_igraph.py:222

Method_insert_done

fast_graphrag/_storage/_vdb_hnswlib.py:152

Method_insert_edges

tests/_policies/_graph_upsert_test.py:237

Method_insert_identiy_edges

( source_index: TIndex, target_indices: npt.NDArray[np.int32] )

fast_graphrag/_services/_state_manager.py:156

Method_insert_start

fast_graphrag/_storage/_blob_pickle.py:23

Method_insert_start

fast_graphrag/_storage/_ikv_pickle.py:77

Method_insert_start

fast_graphrag/_storage/_gdb_igraph.py:203

Method_insert_start

fast_graphrag/_storage/_vdb_hnswlib.py:119

Function_json_schema_slim

(schema: dict[str, Any])

fast_graphrag/_models.py:12

fast_graphrag/_graphrag.py:147

Method_query_done

fast_graphrag/_storage/_blob_pickle.py:69

Method_query_done

fast_graphrag/_storage/_ikv_pickle.py:137

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