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Search Results for "embed"

Found 26 matching component(s)

  • 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 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 OneCo_hybrid_RAG_v1

    A class named OneCo_hybrid_RAG

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

    class oneco_hybrid_rag

  • 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 DocumentProcessor_v5

    Process different document types for RAG context extraction

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

    class documentprocessor

  • 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

  • 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 DocumentProcessor_v6

    Process different document types for RAG context extraction

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

    class documentprocessor

  • 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 DocChatEmbeddingFunction

    A custom ChromaDB embedding function that generates OpenAI embeddings with automatic text summarization for documents exceeding token limits.

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

    embeddings chromadb openai text-processing summarization

  • class DocumentIndexer

    A class for indexing documents into ChromaDB with support for multiple file formats (PDF, Word, PowerPoint, Excel, text files), smart incremental indexing, and document chunk management.

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

    document-indexing vector-database chromadb embeddings pdf-processing

  • class DocumentProcessor

    A comprehensive document processing class that converts documents to PDF, adds audit trails, applies security features (watermarks, signatures, hashing), and optionally converts to PDF/A format with document protection.

    File: /tf/active/vicechatdev/document_auditor/src/document_processor.py

    document-processing pdf-generation audit-trail security watermarking

  • class AuditPageGenerator

    A class that generates comprehensive PDF audit trail pages for documents, including document information, reviews, approvals, revision history, and event history with electronic signatures.

    File: /tf/active/vicechatdev/document_auditor/src/audit_page_generator.py

    pdf-generation audit-trail document-management compliance electronic-signature

  • class HashGenerator

    A class that provides cryptographic hashing functionality for PDF documents, including hash generation, embedding, and verification for document integrity checking.

    File: /tf/active/vicechatdev/document_auditor/src/security/hash_generator.py

    cryptography hashing SHA-256 PDF document-integrity

  • function add_data_section_to_docx

    Adds a data analysis section to a Word document, including analysis metadata, statistical conclusions, and embedded visualizations from saved content or legacy analysis history.

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

    document-generation word-document data-analysis visualization report-generation

  • function add_data_section_to_pdf

    Adds a data analysis section to a PDF document story, including analysis metadata, statistical conclusions, and embedded visualizations from saved content or analysis history.

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

    pdf-generation reportlab data-analysis document-export visualization

  • 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 ControlledDocumentConverter

    A comprehensive document converter class that transforms controlled documents into archived PDFs with signature pages, audit trails, hash-based integrity verification, and PDF/A compliance for long-term archival.

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

    document-conversion pdf-generation audit-trail document-control archival

  • function create_embedded_admin_panel

    Creates and returns an embedded AdminPanel instance configured for integration within other application interfaces without its own template or session manager.

    File: /tf/active/vicechatdev/CDocs/ui/admin_panel.py

    admin panel embedded ui dashboard

  • function server_html_page_for_session

    Generates a complete HTML page for a Bokeh server session by bundling resources and rendering document roots with session token.

    File: /tf/active/vicechatdev/patches/server.py

    bokeh html-generation server session rendering

  • 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

  • class ExtensiveSearchManager_v2

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

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

    class extensivesearchmanager

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