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Full-Text: Fast keyword matching | Semantic: AI-powered understanding of intent (finds similar concepts)

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Found 24 matching component(s)

  • function extract_warranty_data_improved

    Parses markdown-formatted warranty documentation to extract structured warranty data including IDs, titles, sections, disclosure text, and reference citations.

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

    markdown-parsing text-extraction warranty-processing document-parsing regex
  • function parse_references_section

    Parses a formatted references section string and extracts structured data including reference numbers, sources, and content previews using regular expressions.

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

    parsing text-processing references citations regex
  • function create_word_report_improved

    Generates a formatted Microsoft Word document report containing warranty disclosures with table of contents, structured sections, and references.

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

    document-generation word-processing report-generation docx warranty-management
  • class MetadataCatalog

    Helper class to manage FileCloud metadata sets and attributes. This class provides methods to work with FileCloud metadata by providing a more user-friendly interface on top of the raw API.

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

    class metadatacatalog
  • function validate_and_alternatives

    Validates whether a given keyword is a valid chemical compound, biochemical concept, or drug-related term using GPT-4, and returns alternative names/synonyms if valid.

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

    validation chemistry biochemistry drug-research llm
  • 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_warranty_data

    Parses markdown-formatted warranty documentation to extract structured warranty information including IDs, titles, sections, source document counts, warranty text, and disclosure content.

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

    markdown-parsing data-extraction warranty-processing text-processing regex
  • function create_word_report

    Generates a formatted Microsoft Word document report containing warranty disclosures with a table of contents, metadata, and structured sections for each warranty.

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

    document-generation word-document docx report-generation warranty
  • function create_enhanced_word_document

    Converts markdown-formatted warranty disclosure content into a formatted Microsoft Word document with hierarchical headings, styled text, lists, and special formatting for block references.

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

    document-generation markdown-to-word docx warranty-processing legal-documents
  • function extract_warranty_sections

    Parses markdown content to extract warranty section headers, returning a list of dictionaries containing section IDs and titles for table of contents generation.

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

    markdown-parsing text-processing warranty-documents table-of-contents document-structure
  • function create_enhanced_word_document_v1

    Converts markdown content into a formatted Microsoft Word document with proper styling, table of contents, warranty sections, and reference handling for Project Victoria warranty disclosures.

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

    document-generation word-processing markdown-conversion docx formatting
  • class ReferenceManager_v1

    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 copy.py

    class referencemanager
  • class MyEmbeddingFunction

    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 SimpleChatMemory

    A simple chat memory manager that stores and retrieves conversation history between users and assistants with configurable history limits.

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

    chat memory conversation history chatbot
  • class SimpleDataHandle

    A data handler class that manages multiple data sources with different types (dataframes, vector stores, databases) and their associated processing configurations.

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

    data-management registry vector-store RAG dataframe
  • class OneCo_hybrid_RAG

    A class named OneCo_hybrid_RAG

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

    class oneco_hybrid_rag
  • class FixedProjectVictoriaGenerator

    Fixed Project Victoria Disclosure Generator that properly handles all warranty sections.

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

    class fixedprojectvictoriagenerator
  • function search_documents

    Searches for documents in a Neo4j graph database based on multiple optional filter criteria including text query, document type, department, status, and owner.

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

    search documents neo4j cypher database-query
  • function get_document_audit_trail

    Retrieves the complete audit trail for a controlled document from a Neo4j graph database, including timestamps, user actions, and event details.

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

    audit document-management neo4j graph-database compliance
  • function get_document_versions_v1

    Retrieves all versions of a document from the database given its unique identifier (UID).

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

    document-management version-control database-query error-handling controller
  • class FileCloudAPI

    Python wrapper for the FileCloud REST API. This class provides methods to interact with FileCloud server APIs, handling authentication, session management, and various file operations.

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

    class filecloudapi
  • class PatternBasedExtractor

    Extract flocks based on farm-level In-Ovo usage patterns.

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

    class patternbasedextractor
  • class DocumentDetail

    Document detail view component

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

    class documentdetail
  • class pathobrowser_base

    Base class that contains all static elements of the app Parameters ---------- image : str An Image UID which may be passed on app startup. Immediately redirects to said image Attributes ---------- current_user : Userclass A class containing various information on the user workspace : panel.layout.Column The main container of the app sidebar : panel.layout.Column Container showing items on the side of the app head : panel.layout.Row The header of the app modal : panel.layout.Column The container for the modal window of the app

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

    class pathobrowser_base

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