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Found 13 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 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 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

  • function validate_azure_token_v1

    Validates an Azure AD token by parsing the JWT id_token and extracting user information such as user ID, email, name, and preferred username.

    File: /tf/active/vicechatdev/docchat/auth/azure_auth.py

    azure authentication jwt token-validation oauth

  • function process_inline_markdown

    Processes inline markdown formatting by unescaping HTML entities in text. Currently performs basic cleanup while preserving markdown syntax for downstream processing.

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

    markdown text-processing html-entities preprocessing formatting

  • function format_session_args

    Converts session arguments dictionary with byte keys/values to a formatted JSON string for readable logging.

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

    logging formatting session-management bytes-to-string panel

  • function validate_azure_token

    Validates an Azure AD token by decoding the JWT id_token and extracting user information such as email, name, and object ID.

    File: /tf/active/vicechatdev/CDocs/auth/azure_auth.py

    azure authentication jwt token-validation oauth2

  • function html_to_text

    Converts HTML content to plain text by removing HTML tags, decoding common HTML entities, and normalizing whitespace.

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

    html text-conversion html-parsing text-extraction html-entities

  • function test_json_serialization

    A test function that validates JSON serialization and deserialization of workflow data structures containing status, progress, and results information.

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

    testing json serialization deserialization workflow

  • class EmailHandler

    EmailHandler is a comprehensive email processing class that parses incoming email data, extracts content and attachments, enforces rate limits, and forwards emails via Office 365 using the O365Client.

    File: /tf/active/vicechatdev/email-forwarder/src/forwarder/email_handler.py

    email smtp email-parsing email-forwarding office365

  • function bytes_to_unicode

    Converts a bytes object to a Unicode string using UTF-8 encoding, or returns the input unchanged if it's not a bytes object.

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

    encoding decoding utf-8 unicode bytes

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