🔍 Code Extractor

Search Components

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

Search Results for "retrieval"

Found 50 matching component(s)

• 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 ReferenceManager

  Manages document references for inline citation and bibliography generation in a RAG (Retrieval-Augmented Generation) system.

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

  citation bibliography reference-management document-tracking RAG

• function get_document

  Retrieves comprehensive details of a controlled document by its UID, with optional inclusion of version history, review cycles, and approval cycles.

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

  document-management controlled-documents retrieval version-control review-workflow

• function get_document_v2

  Retrieves detailed information about a specific document version by its UID, including associated document context and version status.

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

  document-management version-control retrieval controlled-documents metadata

• function download_document_version

  Downloads a specific version of a controlled document from FileCloud storage, with optional audit trail and watermark inclusion, and logs the download event.

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

  document-management file-download version-control audit-trail watermark

• function get_document_download_url

  Retrieves a download URL for a controlled document, automatically selecting between editable (Word) and PDF formats based on document status or explicit request.

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

  document-management file-download url-generation version-control filecloud

• function get_documents_v1

  Retrieves filtered and paginated documents from a Neo4j graph database with permission-based access control, supporting multiple filter criteria and search functionality.

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

  document-management neo4j graph-database filtering pagination

• function _view_document

  Views and downloads the current version of a document, with special handling for FileCloud-stored documents versus locally stored documents.

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

  document-management file-download filecloud storage panel

• 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 FileCloudAPI_v1

  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.py

  class filecloudapi

• function test_reference_system_completeness

  A diagnostic test function that prints a comprehensive overview of a reference system's architecture, including backend storage, API endpoints, reference types, and content flow verification.

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

  testing documentation diagnostic reference-system api-endpoints

• function run_query_v1

  Executes a Cypher query against a Neo4j database session and returns the result, with optional parameterization for safe query execution.

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

  neo4j graph-database cypher query-execution database

• function evaluate_query

  Executes a Cypher query against a Neo4j database session and returns the first value from a single result record.

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

  neo4j cypher database graph-database query-execution

• 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 SyncDiagnostics

  A diagnostic class that analyzes and reports on synchronization issues between SharePoint and FileCloud, identifying missing files and root causes of sync failures.

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

  diagnostics sync-analysis sharepoint filecloud troubleshooting

• function test_filecloud_integration

  Integration test function that verifies the SharePoint Graph API client works correctly with FileCloud synchronization service by creating a sync service instance and testing document retrieval.

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

  integration-test sharepoint filecloud sync graph-api

• function main_v36

  Main test function that validates SharePoint Graph API integration, tests the Graph client connection, and verifies FileCloud sync functionality.

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

  testing integration-test sharepoint graph-api filecloud

• class SharePointGraphClient

  SharePoint client using Microsoft Graph API. This bypasses SharePoint REST API app-only token issues.

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

  class sharepointgraphclient

• function get_folder_documents

  Retrieves and filters documents from a SharePoint folder by matching the folder name in document paths.

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

  sharepoint document-retrieval folder-filtering file-management microsoft-graph

• class SharePointFileCloudSync

  Orchestrates synchronization of documents from SharePoint to FileCloud, managing the complete sync lifecycle including document retrieval, comparison, upload, and folder structure creation.

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

  synchronization sharepoint filecloud document-management cloud-sync

• function test_language_detection_and_translation

  A test function that validates multi-language query processing capabilities including language detection, translation, and query expansion across multiple supported languages.

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

  testing multi-language language-detection translation RAG

• function test_adjusted_topk

  A test function that validates the adjusted top_k calculation by testing multiple base values against the number of supported languages and logging the results.

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

  testing unit-test validation logging configuration

• function basic_rag_example

  Demonstrates a basic RAG (Retrieval-Augmented Generation) workflow by initializing a DocChatRAG engine, executing a sample query about document topics, and displaying the response with metadata.

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

  rag retrieval-augmented-generation example demo document-chat

• function extensive_mode_example

  Demonstrates the usage of DocChatRAG's extensive mode for detailed document analysis with a sample query about methodologies.

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

  example demo RAG retrieval-augmented-generation extensive-mode

• function full_reading_example

  Demonstrates the full reading mode of a RAG (Retrieval-Augmented Generation) system by processing all documents to answer a comprehensive query about key findings.

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

  example demonstration RAG retrieval-augmented-generation full-reading

• function conversation_example

  Demonstrates a multi-turn conversational RAG system with chat history management, showing how follow-up questions are automatically optimized based on conversation context.

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

  RAG conversational-ai chat-history multi-turn-conversation context-management

• function main_v43

  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_user_session_key

  Generates a user-specific session key by combining user ID and session ID when authentication is required, or returns just the session ID otherwise.

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

  session-management authentication user-session key-generation session-key

• function get_document_info

  Retrieves indexing status and metadata for a document, including whether it's indexed, its document ID, chunk count, and reindexing status.

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

  document-management indexing metadata vector-database chromadb

• function process_chat_background

  Processes chat requests asynchronously in a background thread, managing RAG engine interactions, progress updates, and session state for various query modes including basic, extensive, full_reading, and deep_reflection.

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

  background-processing async rag chat document-retrieval

• function init_engines

  Initializes the RAG (Retrieval-Augmented Generation) engine and document indexer components, loads persisted sessions, and optionally starts background auto-indexing of documents.

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

  initialization RAG document-indexing background-processing threading

• function api_chat

  Flask API endpoint that handles chat requests asynchronously, processing user queries through a RAG (Retrieval-Augmented Generation) engine with support for multiple modes, memory, web search, and custom configurations.

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

  flask api chat async rag

• function process_full_reading_background

  Asynchronous background task processor that executes a full reading mode RAG (Retrieval-Augmented Generation) query, tracks progress, and stores results in session history.

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

  background-task async-processing rag full-reading-mode chat

• function api_chat_status

  Flask API endpoint that retrieves the detailed status of a chat task by delegating to the api_task_status function using the provided task_id.

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

  flask api endpoint chat status

• function api_upload

  Flask API endpoint that handles file uploads, validates file types, saves files to a configured directory structure, and automatically indexes the uploaded document for search/retrieval.

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

  file-upload api-endpoint document-management rag indexing

• function check_configuration

  A comprehensive configuration verification function that checks and displays the status of all DocChat system settings, including API keys, models, ChromaDB connection, directories, and LLM initialization.

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

  configuration verification diagnostics setup validation

• function matches_source_filter

  Checks if a document path matches any of the provided source filters using exact match, folder prefix match, path component sequence match, or filename match.

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

  path-matching file-filtering document-filtering path-normalization string-matching

• 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

• function index_v2

  Flask route handler that renders the main DocChat interface with document collection statistics.

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

  flask route-handler web-interface authentication rag

• function chat

  Flask route handler that processes chat requests with RAG (Retrieval-Augmented Generation) capabilities, managing conversation sessions, chat history, and document-based question answering.

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

  chat rag retrieval-augmented-generation conversational-ai document-qa

• function upload_document

  Flask route handler that processes file uploads, saves them securely to disk, and indexes the document content for retrieval-augmented generation (RAG) search.

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

  file-upload document-processing flask-route authentication RAG

• function get_stats

  Flask API endpoint that retrieves and returns statistics about a document collection from a RAG (Retrieval-Augmented Generation) system.

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

  flask api endpoint statistics rag

• function test_config

  A test function that validates the presence and correctness of all required configuration settings for a multi-model RAG (Retrieval-Augmented Generation) system.

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

  testing validation configuration unit-test assertion

• class FileCloudClient_v1

  A client class for interacting with FileCloud storage systems through direct API calls, providing authentication, file search, download, and metadata retrieval capabilities.

  File: /tf/active/vicechatdev/contract_validity_analyzer/utils/filecloud_client.py

  filecloud storage api-client file-management document-management

• function get_logger

  A wrapper function that retrieves a logger instance from Python's logging module with the specified name.

  File: /tf/active/vicechatdev/contract_validity_analyzer/utils/logging_utils.py

  logging logger wrapper utility debugging

• 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

• function clean_collection

  Cleans a ChromaDB collection by removing duplicate and similar documents using hash-based and similarity-based deduplication techniques, then saves the cleaned data to a new collection.

  File: /tf/active/vicechatdev/chromadb-cleanup/main.py

  data-cleaning deduplication chromadb vector-database similarity-detection

• function load_data_from_chromadb

  Connects to a ChromaDB instance and retrieves all documents from a specified collection, returning them as a list of dictionaries with document IDs, text content, embeddings, and metadata.

  File: /tf/active/vicechatdev/chromadb-cleanup/main.py

  chromadb vector-database data-loading document-retrieval embeddings

Search Examples

• validation - Find validation functions
• database - Find database-related components
• email - Find email processing functions
• api - Find API-related components
• authentication - Find auth components