Functions — github.com/PromtEngineer/localGPT

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Functions452 in github.com/PromtEngineer/localGPT

⨍ Functions 452◇ Types & classes 88

FunctionIndexPicker

({ onSelect, onClose }: Props)

src/components/IndexPicker.tsx:9

FunctionIndexWizard

({ onClose }: Props)

src/components/IndexWizard.tsx:9

FunctionInfoTooltip

({ text, className = "", size = 14 }: Props)

src/components/ui/InfoTooltip.tsx:12

FunctionLandingMenu

({ onSelect }: Props)

src/components/LandingMenu.tsx:9

FunctionLocalGPTChat

()

src/components/ui/localgpt-chat.tsx:69

FunctionMarkdown

({ text, className = '' }: MarkdownProps)

src/components/Markdown.tsx:17

FunctionMessageLoading

()

src/components/ui/message-loading.tsx:3

FunctionModelSelect

({ value, onChange, type, className, placeholder }: Props)

src/components/ModelSelect.tsx:12

FunctionQuickChat

({ sessionId: externalSessionId, onSessionChange, className="" }: QuickChatProps)

src/components/ui/quick-chat.tsx:15

FunctionRootLayout

({ children, }: Readonly<{ children: React.ReactNode; }>)

src/app/layout.tsx:20

FunctionScrollArea

({ className, children, ...props }: React.ComponentProps<typeof ScrollAreaPrimitive.Root>)

src/components/ui/scroll-area.tsx:8

FunctionScrollBar

({ className, orientation = "vertical", ...props }: React.ComponentProps<typeof ScrollAreaPrimitive.Scro

src/components/ui/scroll-area.tsx:31

FunctionSeparator

({ className, orientation = "horizontal", decorative = true, ...props }: React.ComponentProps<typeof S

src/components/ui/separator.tsx:8

FunctionSessionIndexInfo

({ sessionId, onClose }: Props)

src/components/SessionIndexInfo.tsx:9

FunctionSessionNavBar

()

src/components/ui/sidebar.tsx:79

FunctionSessionSidebar

({ currentSessionId, onSessionSelect, onNewSession, onSessionDelete, onSessionCreated, className =

src/components/ui/session-sidebar.tsx:23

FunctionSkeleton

({ className, ...props }: React.ComponentProps<"div">)

src/components/ui/skeleton.tsx:3

FunctionStepIcon

({ status }: { status: 'pending' | 'active' | 'done' | 'error' })

src/components/ui/conversation-page.tsx:70

FunctionStructuredMessageBlock

({ content }: { content: Array<Record<string, any>> | { steps: any[] } })

src/components/ui/conversation-page.tsx:120

FunctionTextarea

({ className, ...props }: React.ComponentProps<"textarea">)

src/components/ui/textarea.tsx:5

FunctionThinkingText

({ text }: { text: string })

src/components/ui/conversation-page.tsx:93

FunctionTile

({ label, mode, icon }: { label: string; mode: Props["onSelect"] extends (m: infer U)=>void ? U: never; icon:

src/components/LandingMenu.tsx:10

Method__init__

Initialize the index creator with optional custom configuration.

create_index_script.py:39

Method__init__

Initialize the batch indexing demo.

demo_batch_indexing.py:48

Method__init__

(self, mode: str = "dev", logs_dir: str = "logs")

run_system.py:88

Method__init__

(self, db_path: str = None)

backend/database.py:8

Method__init__

Initialize simple PDF processor with SQLite storage

backend/simple_pdf_processor.py:14

Method__init__

(self, *args, **kwargs)

backend/server.py:37

Method__init__

(self, base_url: Optional[str] = None)

backend/ollama_client.py:7

Method__init__

(self, total_items: int, operation_name: str, session_id: str)

rag_system/api_server_with_progress.py:66

Method__init__

Initialize the Watson X client. Args: api_key: IBM Cloud API key for authentication project_id: Wats

rag_system/utils/watsonx_client.py:13

Method__init__

(self, host: str = "http://localhost:11434")

rag_system/utils/ollama_client.py:13

Method__init__

(self, total_items: int, operation_name: str = "Processing")

rag_system/utils/batch_processor.py:24

Method__init__

(self, batch_size: int = 50, enable_gc: bool = True)

rag_system/utils/batch_processor.py:72

Method__init__

(self, enable_gc_interval: int = 100)

rag_system/utils/batch_processor.py:138

Method__init__

(self, llm_client: OllamaClient, llm_model: str)

rag_system/indexing/graph_extractor.py:9

Method__init__

(self, model_name: str = "vidore/colqwen2-v1.0", device: str = "cpu")

rag_system/indexing/multimodal.py:17

Method__init__

(self, vision_model: LocalVisionModel, text_embedder: QwenEmbedder, db_manager: LanceDBManager)

rag_system/indexing/multimodal.py:40

Method__init__

(self, model_name: str = "Qwen/Qwen3-Embedding-0.6B")

rag_system/indexing/representations.py:19

Method__init__

(self, embedding_model: EmbeddingModel, batch_size: int = 50)

rag_system/indexing/representations.py:75

Method__init__

(self, model_name: str, host: str | None = None, timeout: int = 60)

rag_system/indexing/representations.py:108

Method__init__

(self, db_path: str)

rag_system/indexing/embedders.py:9

Method__init__

(self, db_manager: LanceDBManager)

rag_system/indexing/embedders.py:27

Method__init__

(self, llm_client, model: str = "qwen3:0.6b", first_n_chunks: int = 5, out_path: str | None =

rag_system/indexing/overview_builder.py:21

Method__init__

(self, llm_client: OllamaClient, llm_model: str, batch_size: int = 10)

rag_system/indexing/contextualizer.py:33

Method__init__

(self, model_name: str = "Qwen/Qwen3-Embedding-0.6B", *, max_tokens: int = 8192)

rag_system/indexing/latechunk.py:24

Method__init__

Initializes the docling document converter with forced OCR enabled for macOS.

rag_system/ingestion/document_converter.py:24

Method__init__

(self, max_chunk_size: int = 1500, min_chunk_size: int = 200, tokenizer_model: str = "Qwen/Qwen3-Embedding-0.6

rag_system/ingestion/chunking.py:11

Method__init__

(self, *, max_tokens: int = 512, overlap: int = 1, tokenizer_model: str = "Qwen/Qwen3-Embedding-0.6B")

rag_system/ingestion/docling_chunker.py:20

Method__init__

(self, config: Dict[str, Any], ollama_client: OllamaClient, ollama_config: Dict[str, str])

rag_system/pipelines/indexing_pipeline.py:14

Method__init__

(self, config: Dict[str, Any], ollama_client: OllamaClient, ollama_config: Dict[str, Any])

rag_system/pipelines/retrieval_pipeline.py:47

Method__init__

(self, graph_path: str)

rag_system/retrieval/retrievers.py:28

Method__init__

(self, db_manager: LanceDBManager, text_embedder: QwenEmbedder, vision_model: LocalVisionModel = None, *, fusi

rag_system/retrieval/retrievers.py:59

Method__init__

(self, llm_client: OllamaClient, llm_model: str)

rag_system/retrieval/query_transformer.py:6

Method__init__

(self, llm_client: OllamaClient, llm_model: str)

rag_system/retrieval/query_transformer.py:295

Method__init__

(self, llm_client: OllamaClient, llm_model: str)

rag_system/retrieval/query_transformer.py:305

Method__init__

(self, model_name: str = "naver/provence-reranker-debertav3-v1")

rag_system/rerankers/sentence_pruner.py:26

Method__init__

(self, model_name: str = "BAAI/bge-reranker-base")

rag_system/rerankers/reranker.py:9

Method__init__

(self, is_grounded: bool, reasoning: str, verdict: str, confidence_score: int)

rag_system/agent/verifier.py:5

Method__init__

(self, llm_client: OllamaClient, llm_model: str)

rag_system/agent/verifier.py:15

Method__init__

(self, pipeline_configs: Dict[str, Dict], llm_client: OllamaClient, ollama_config: Dict[str, str])

rag_system/agent/loop.py:17

Method_add_chunk

(text: str, block_type: str, heading_path: List[str], page_no: int | None = None)

rag_system/ingestion/docling_chunker.py:107

Method_blocking_stream

()

rag_system/agent/loop.py:365

Method_cache_result

Cache a result with size limit

rag_system/agent/loop.py:237

Method_cb

(ev_type: str, payload)

rag_system/agent/loop.py:446

Method_clean_val

(v)

rag_system/pipelines/retrieval_pipeline.py:476

Method_format_instruction

(self, query: str, doc: str)

rag_system/rerankers/reranker.py:26

Method_get_bm25_retriever

(self)

rag_system/pipelines/retrieval_pipeline.py:106

Method_get_cache_key

Generate a cache key for the query

rag_system/agent/loop.py:232

Method_get_graph_retriever

(self)

rag_system/pipelines/retrieval_pipeline.py:120

Method_image_to_base64

Converts a Pillow Image to a base64 string.

rag_system/utils/watsonx_client.py:55

Method_monitor_service_logs

Monitor service logs and forward to main logger.

run_system.py:305

Method_pdf_has_text

(path: str)

rag_system/ingestion/document_converter.py:80

Method_run_fts

()

rag_system/retrieval/retrievers.py:106

Method_run_stream

()

rag_system/agent/loop.py:362

Method_run_vec

()

rag_system/retrieval/retrievers.py:117

Method_signal_handler

Handle shutdown signals gracefully.

run_system.py:168

Functionbatch_chunks_by_document

Group chunks by document_id for document-level batch processing

rag_system/utils/batch_processor.py:189

Methodbatch_iterator

Generate batches as an iterator for memory-efficient processing

rag_system/utils/batch_processor.py:130

Methodchat_stream

Stream chat response from Ollama

backend/ollama_client.py:111

MethodcleanupEmptySessions

()

src/lib/api.ts:280

Methodcreate_embeddings

(self, texts: List[str])

rag_system/indexing/representations.py:9

Methodcreate_embeddings

(self, texts: List[str])

rag_system/indexing/representations.py:125

Methoddeep_merge

(base: dict, override: dict)

demo_batch_indexing.py:91

Methoddelete_session_documents

Delete all documents for a session

backend/simple_pdf_processor.py:166

Methoddo_DELETE

Handle DELETE requests

backend/server.py:121

rag_system/api_server.py:137

Methoddo_GET

Handle GET requests for progress status and SSE streams

rag_system/api_server_with_progress.py:249

Methoddo_OPTIONS

Handle CORS preflight requests

backend/server.py:41

Methoddo_OPTIONS

Handle CORS preflight requests for frontend integration.

rag_system/api_server.py:116

Methoddo_OPTIONS

Handle CORS preflight requests for frontend integration.

rag_system/api_server_with_progress.py:241

Handle POST requests for chat and indexing.

rag_system/api_server.py:124

Methoddo_POST

Handle POST requests for chat and indexing.

rag_system/api_server_with_progress.py:260

Functiondummy_process_func

(batch)

rag_system/utils/batch_processor.py:211

Methodembed_image

Generates a multi-vector embedding for a single image.

rag_system/indexing/multimodal.py:26

Methodemit

Send a single SSE event.

rag_system/api_server.py:387

Methodenrich_chunks_sequential

Sequential enrichment method (legacy) - kept for comparison

rag_system/indexing/contextualizer.py:146

Methodensure_overview_path

(cfg: dict)

backend/server.py:911

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