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Found 34 matching component(s)

• class OneCo_hybrid_RAG

  A class named OneCo_hybrid_RAG

  File: /tf/active/vicechatdev/OneCo_hybrid_RAG copy.py

  class oneco_hybrid_rag

• class OneCo_hybrid_RAG_v1

  A class named OneCo_hybrid_RAG

  File: /tf/active/vicechatdev/OneCo_hybrid_RAG_old.py

  class oneco_hybrid_rag

• class OneCo_hybrid_RAG_v2

  A class named OneCo_hybrid_RAG

  File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py

  class oneco_hybrid_rag

• class ExtensiveSearchManager

  Manages extensive search functionality including full document retrieval, summarization, and enhanced context gathering.

  File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py

  class extensivesearchmanager

• function generate_neo4j_schema_report

  Generates a comprehensive schema report of a Neo4j graph database, including node labels, relationships, properties, constraints, indexes, and sample data, outputting multiple file formats (JSON, HTML, Python snippets, Cypher examples).

  File: /tf/active/vicechatdev/neo4j_schema_report.py

  neo4j graph-database schema-analysis database-introspection documentation-generation

• function generate_python_snippets

  Generates a Python file containing code snippets and helper functions for interacting with a Neo4j graph database based on the provided schema information.

  File: /tf/active/vicechatdev/neo4j_schema_report.py

  code-generation neo4j graph-database cypher schema

• function generate_cypher_examples

  Generates a comprehensive Cypher query examples file for interacting with a Neo4j graph database based on the provided schema information.

  File: /tf/active/vicechatdev/neo4j_schema_report.py

  neo4j cypher graph-database code-generation documentation

• function analyze_structure

  Analyzes and reports on the folder structure of a SharePoint site, displaying folder paths, file counts, and searching for expected folder patterns.

  File: /tf/active/vicechatdev/SPFCsync/analyze_structure.py

  sharepoint analysis folder-structure microsoft-graph audit

• function main_v73

  Orchestrates and executes a series of example demonstrations for the DocChat system, including document indexing, RAG queries, and conversation modes.

  File: /tf/active/vicechatdev/docchat/example_usage.py

  demo examples orchestration RAG document-chat

• function get_instruction_templates

  Flask API endpoint that returns a dictionary of predefined instruction templates for different document types including SOPs, work instructions, quality forms, and document comparison guidelines.

  File: /tf/active/vicechatdev/docchat/app.py

  flask api endpoint templates instructions

• class DocChatRAG

  Main RAG engine with three operating modes: 1. Basic RAG (similarity search) 2. Extensive (full document retrieval with preprocessing) 3. Full Reading (process all documents)

  File: /tf/active/vicechatdev/docchat/rag_engine.py

  class docchatrag

• class ContractDataExtractor

  Extract structured data from legal contracts using LLM analysis

  File: /tf/active/vicechatdev/contract_validity_analyzer/extractor.py

  class contractdataextractor

• function parse_arguments_v1

  Parses command-line arguments for a legal contract extraction tool that processes documents from FileCloud storage.

  File: /tf/active/vicechatdev/contract_validity_analyzer/extractor.py

  cli command-line argument-parsing argparse configuration

• function parse_arguments

  Parses command-line arguments for a contract validity analysis tool that processes FileCloud documents with configurable options for paths, concurrency, output, and file filtering.

  File: /tf/active/vicechatdev/contract_validity_analyzer/main.py

  cli argument-parsing command-line argparse configuration

• function main_v88

  Entry point function that demonstrates document processing workflow by creating an audited, watermarked, and protected PDF/A document from a DOCX file with audit trail data.

  File: /tf/active/vicechatdev/document_auditor/main.py

  document-processing pdf-generation audit-trail watermarking pdf-a-compliance

• function print_help

  Displays help information for Vice AI Development Tools, listing available commands and usage examples.

  File: /tf/active/vicechatdev/vice_ai/dev_tools.py

  help documentation cli command-line user-interface

• class LegacySystemMigrator

  Migrates data from a legacy file-based document system to a new database-backed architecture with TextSection-centric design, including document metadata, sections, chat configurations, and version history.

  File: /tf/active/vicechatdev/vice_ai/migration.py

  migration data-migration legacy-system database document-management

• class OneCo_hybrid_RAG_v3

  A class named OneCo_hybrid_RAG

  File: /tf/active/vicechatdev/vice_ai/hybrid_rag_engine.py

  class oneco_hybrid_rag

• class ExtensiveSearchManager_v1

  Manages extensive search functionality including full document retrieval, summarization, and enhanced context gathering.

  File: /tf/active/vicechatdev/vice_ai/hybrid_rag_engine.py

  class extensivesearchmanager

• class VersionComparisonService

  A service class that compares two versions of a document using LLM-based analysis, implementing smart segmentation and chunking for handling large documents efficiently.

  File: /tf/active/vicechatdev/CDocs/utils/version_comparison.py

  document-comparison version-control llm openai text-analysis

• class EnhancedSQLWorkflow

  Enhanced SQL workflow with iterative optimization

  File: /tf/active/vicechatdev/full_smartstat/enhanced_sql_workflow.py

  class enhancedsqlworkflow

• class OneCo_hybrid_RAG_v4

  A class named OneCo_hybrid_RAG

  File: /tf/active/vicechatdev/datacapture_backup_16072025/OneCo_hybrid_RAG.py

  class oneco_hybrid_rag

• class OneCo_hybrid_RAG_v5

  A class named OneCo_hybrid_RAG

  File: /tf/active/vicechatdev/data_capture_backup_18072025/OneCo_hybrid_RAG.py

  class oneco_hybrid_rag

• function main_v112

  Entry point function that parses command-line arguments to fix file timestamps by setting them to the oldest date found, either for a single file or recursively through a directory.

  File: /tf/active/vicechatdev/mailsearch/fix_file_dates.py

  cli command-line argparse file-processing timestamp-management

• function print_summary_v1

  Prints a comprehensive summary report of document comparison results, including status breakdowns, signature analysis, match quality metrics, and examples from each category.

  File: /tf/active/vicechatdev/mailsearch/enhanced_document_comparison.py

  reporting statistics document-comparison summary console-output

• function print_summary

  Prints a formatted summary report of document comparison results, including presence status, match quality statistics, and examples of absent and modified documents.

  File: /tf/active/vicechatdev/mailsearch/compare_documents.py

  reporting summary statistics document-comparison console-output

• class LLMHandler

  Handles OpenAI LLM interactions with optimized prompts for analyzing handwritten and drawn content, providing comprehensive responses with optional hybrid graphics integration.

  File: /tf/active/vicechatdev/e-ink-llm/llm_handler.py

  openai llm gpt-4 image-analysis handwriting-recognition

• class HybridPromptEnhancer

  A utility class that enhances LLM prompts by adding instructions and formatting guidelines to encourage hybrid text+graphics responses with embedded graphic placeholders.

  File: /tf/active/vicechatdev/e-ink-llm/hybrid_response_handler.py

  prompt-engineering llm graphics hybrid-output text-enhancement

• function main_v68

  Async entry point for an E-Ink LLM Assistant that processes handwritten/drawn content using AI vision models, supporting local files, reMarkable Cloud, and OneDrive integration.

  File: /tf/active/vicechatdev/e-ink-llm/main.py

  async cli entry-point file-processing ai-vision

• function demo_placeholder_parsing

  Demonstrates the parsing of graphics placeholders embedded in text by extracting and displaying placeholder metadata including type, description, ID, and parameters.

  File: /tf/active/vicechatdev/e-ink-llm/demo_hybrid_mode.py

  demo testing placeholder-parsing graphics text-processing

• function print_usage

  Displays formatted usage instructions for the reMarkable PDF Upload Tool command-line interface, showing syntax, arguments, and examples.

  File: /tf/active/vicechatdev/e-ink-llm/cloudtest/upload_pdf_new.py

  cli help documentation usage command-line

• function analyze_rm_filename_patterns

  Analyzes and documents the rm-filename header patterns used in reMarkable cloud sync API requests by examining raw log data and printing a comprehensive report of file naming conventions, upload sequences, and implementation requirements.

  File: /tf/active/vicechatdev/e-ink-llm/cloudtest/analyze_headers.py

  remarkable cloud-sync api-analysis file-patterns documentation

• function generate_header_examples

  Prints formatted examples of HTTP headers required for different types of file uploads to a reMarkable cloud sync service, including PDFs, metadata, content, and schema files.

  File: /tf/active/vicechatdev/e-ink-llm/cloudtest/analyze_headers.py

  documentation http-headers remarkable cloud-sync upload

• function main_v84

  Main entry point function that orchestrates an analysis of filename patterns and generates header examples, with error handling and user feedback.

  File: /tf/active/vicechatdev/e-ink-llm/cloudtest/analyze_headers.py

  entry-point orchestration analysis filename-patterns error-handling

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