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Found 22 matching component(s)

  • class RegulatoryExtractor

    A class for extracting structured metadata from regulatory guideline PDF documents using LLM-based analysis and storing the results in an Excel tracking spreadsheet.

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

    pdf-extraction regulatory-documents llm-extraction ocr data-extraction

  • function extract_total_references

    Extracts the total count of references from markdown-formatted content by first checking for a header line with the total, then falling back to manually counting reference entries.

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

    markdown parsing text-processing references bibliography

  • class MyEmbeddingFunction_v1

    A custom embedding function class that generates embeddings for documents using OpenAI's API, with built-in text summarization for long documents and token management.

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

    embeddings openai chromadb vector-database text-summarization

  • class MyEmbeddingFunction_v2

    A custom embedding function class that generates embeddings for text documents using OpenAI's embedding models, with automatic text summarization and token management for large documents.

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

    embeddings openai chromadb text-processing summarization

  • class ImprovedProjectVictoriaGenerator

    Improved Project Victoria Disclosure Generator with proper reference management.

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

    class improvedprojectvictoriagenerator

  • class QueryBasedExtractor_v2

    A class that performs targeted information extraction from text using LLM-based query-guided extraction, with support for handling long documents through chunking and token management.

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

    information-extraction text-processing llm openai query-based

  • class ReferenceManager_v4

    Manages extraction and formatting of references for LLM chat responses. Handles both file references and BibTeX citations, formatting them according to various academic citation styles.

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

    class referencemanager

  • 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

  • class ProjectVictoriaDisclosureGenerator

    Main class for generating Project Victoria disclosures from warranty claims.

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

    class projectvictoriadisclosuregenerator

  • class MyEmbeddingFunction_v3

    A custom embedding function class that generates embeddings for text documents using OpenAI's embedding models, with automatic text summarization and token limit handling for large documents.

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

    embeddings openai vector-database chromadb text-processing

  • class QueryBasedExtractor

    A class that extracts relevant information from documents using a small LLM (Language Model), designed for Extensive and Full Reading modes in RAG systems.

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

    information-extraction document-processing llm rag query-based

  • class GPT5Validator

    A comprehensive testing and validation class for OpenAI GPT models, with special support for GPT-5 family models using the Responses API.

    File: /tf/active/vicechatdev/docchat/test_gpt5_readiness.py

    testing validation openai gpt-5 api-testing

  • class DocumentProcessor_v7

    Lightweight document processor for chat upload functionality

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

    class documentprocessor

  • class QueryBasedExtractor_v1

    A class that performs targeted information extraction from text using LLM-based query-guided extraction, with support for handling long documents through chunking and token management.

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

    information-extraction llm openai text-processing query-based

  • 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 ControlledDocument

    Model representing a controlled document.

    File: /tf/active/vicechatdev/CDocs/models/document.py

    class controlleddocument

  • class ApproverAssignment_v1

    Model class representing an approver assignment within an approval cycle, managing the relationship between an approver and their approval task including status, decisions, and timeline tracking.

    File: /tf/active/vicechatdev/CDocs/models/approval.py

    approval workflow assignment approver database-model

  • class ReviewerAssignment

    Model class representing a reviewer assignment within a review cycle, managing reviewer information, status, decisions, and lifecycle tracking for document review processes.

    File: /tf/active/vicechatdev/CDocs/models/review.py

    review-management assignment reviewer workflow database-model

  • class NotificationManager

    Central manager class for handling in-app and email notifications within the application, providing methods for creating, managing, and sending notifications to users.

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

    notifications messaging email in-app-notifications user-communication

  • function count_user_notifications

    Counts the total number of notifications for a specific user in a Neo4j graph database, with an option to filter for only unread notifications.

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

    notifications neo4j graph-database cypher-query user-management

  • 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

  • function count_audit_events

    Counts audit events in a Neo4j graph database with flexible filtering options including resource, user, event type, category, and date range.

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

    audit logging neo4j graph-database cypher

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