Search - Code Extractor

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 FixedProjectVictoriaGenerator

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

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

class fixedprojectvictoriagenerator

function main_v58

Entry point function that instantiates a FixedProjectVictoriaGenerator and executes its complete pipeline to generate fixed disclosure documents.

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

entry-point pipeline disclosure-generation orchestration main-function

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

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 ImprovedProjectVictoriaGenerator

Improved Project Victoria Disclosure Generator with proper reference management.

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

class improvedprojectvictoriagenerator

function main_v62

Entry point function that instantiates an ImprovedProjectVictoriaGenerator and executes its complete pipeline to generate disclosure documents.

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

entry-point main-function disclosure-generation RAG document-generation

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

function test_chroma_collections

A diagnostic function that tests connectivity to ChromaDB instances across multiple connection methods and lists all available collections with their metadata.

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

chromadb database-testing diagnostics connection-testing vector-database

function test_collection_creation

A diagnostic test function that verifies Chroma DB functionality by creating a test collection, adding a document, querying it, and cleaning up.

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

testing debugging chroma-db vector-database health-check

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 pathobrowser_base_v1

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.py

class pathobrowser_base

function reset_collection

Deletes an existing ChromaDB collection and logs the operation, requiring an application restart to recreate the collection.

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

chromadb vector-database database-management collection-reset cleanup

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 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

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

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

function test_flask_routes

A test function that validates Flask application routes are properly configured by checking for required endpoints.

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

testing flask routes validation web-application

function check_dependencies

Validates the installation status of all required Python packages for the DocChat application by attempting to import each dependency and logging the results.

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

dependency-check validation installation package-management flask

function configure_docchat

Configures DocChat module settings by overriding default configuration values from a Flask application instance and optional keyword arguments.

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

configuration flask setup chromadb openai

function main_v59

Command-line interface function that orchestrates the cleaning of ChromaDB collections by removing duplicates and similar documents, with options to skip collections and customize the cleaning process.

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

cli command-line chromadb database-cleaning deduplication

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

function save_data_to_chromadb_v1

Saves a list of document dictionaries to a ChromaDB collection, with support for batch processing, embeddings, and metadata storage.

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

chromadb vector-database document-storage embeddings batch-processing

function main_v50

Command-line interface function that orchestrates a ChromaDB collection cleaning pipeline by removing duplicate and similar documents through hashing and similarity screening.

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

cli command-line data-cleaning deduplication chromadb

function load_data_from_chromadb_v1

Retrieves all documents from a specified ChromaDB collection, including their IDs, text content, embeddings, and metadata.

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

chromadb database document-retrieval vector-database embeddings

function save_data_to_chromadb

Saves a list of document dictionaries to a ChromaDB vector database collection, optionally including embeddings and metadata.

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

chromadb vector-database document-storage embeddings persistence

class Config_v6

A dataclass that stores configuration settings for a ChromaDB cleanup process, including connection parameters, cleaning/clustering options, and summarization settings.

File: /tf/active/vicechatdev/chromadb-cleanup/src/config.py

configuration dataclass chromadb settings cleanup

function api_send_chat_message

Flask API endpoint that handles sending a message in a chat session, processes it through a hybrid RAG engine with configurable search and memory settings, and returns an AI-generated response with references.

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

flask api chat rag hybrid-rag

function process_chat_request_background

Process chat request in background thread

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

function process_chat_request_background

function api_chat_v1

Handle chat API requests with support for long-running tasks

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

function api_chat

function api_send_chat_message_v1

Flask API endpoint that handles sending messages in a chat session, processes them through a RAG (Retrieval-Augmented Generation) engine with configurable LLM models, and returns AI-generated responses with references.

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

chat api rag llm conversational-ai

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

function test_single_vendor

Tests vendor enrichment by querying a RAG (Retrieval-Augmented Generation) system to find official contact information (email and VAT number) for a specified vendor using document search and web search capabilities.

File: /tf/active/vicechatdev/find_email/test_enrichment.py

testing vendor-enrichment RAG information-retrieval contact-information

function main_v47

Entry point function that orchestrates vendor enrichment testing by parsing command-line arguments, running setup validation, and executing a single vendor test against a ChromaDB collection.

File: /tf/active/vicechatdev/find_email/test_enrichment.py

testing vendor-enrichment command-line argparse chromadb

class VendorEnricher

A class that enriches vendor information by finding official email addresses and VAT numbers using RAG (Retrieval-Augmented Generation) with ChromaDB document search and web search capabilities.

File: /tf/active/vicechatdev/find_email/vendor_enrichment.py

vendor-enrichment data-enrichment RAG web-search ChromaDB

function main_v14

Command-line interface function that orchestrates the enrichment of vendor data from an Excel file with email and VAT information using ChromaDB and RAG engine.

File: /tf/active/vicechatdev/find_email/vendor_enrichment.py

cli command-line data-enrichment vendor-management excel-processing

class QAUpdater

Orchestrates a two-step Q&A document updating process that generates optimal search queries, retrieves information from internal and external sources, and uses an LLM to determine if updates are needed.

File: /tf/active/vicechatdev/QA_updater/qa_engine/qa_updater.py

qa-management document-updating llm-orchestration information-retrieval vector-search

class ChromaManager

ChromaManager is a class that manages interactions with a Chroma vector database, providing methods to create collections, add documents with embeddings, and query for similar documents.

File: /tf/active/vicechatdev/QA_updater/knowledge_store/chroma_manager.py

vector-database chromadb embeddings semantic-search document-retrieval

Search Components

Search Results for "ChromaDB"

class MyEmbeddingFunction_v1

class SimpleDataHandle

class OneCo_hybrid_RAG

class FixedProjectVictoriaGenerator

function main_v58

class pathobrowser_base

class OneCo_hybrid_RAG_v1

class MyEmbeddingFunction_v2

class ImprovedProjectVictoriaGenerator

function main_v62

class OneCo_hybrid_RAG_v2

class ExtensiveSearchManager

function test_chroma_collections

function test_collection_creation

class ProjectVictoriaDisclosureGenerator

class MyEmbeddingFunction_v3

class pathobrowser_base_v1

function reset_collection

function get_document_info

function check_configuration

class DocChatRAG

class DocChatEmbeddingFunction

class DocumentIndexer

function test_config

function test_flask_routes

function check_dependencies

function configure_docchat

function main_v59

function clean_collection

function load_data_from_chromadb

function save_data_to_chromadb_v1

function main_v50

function load_data_from_chromadb_v1

function save_data_to_chromadb

class Config_v6

function api_send_chat_message

function process_chat_request_background

function api_chat_v1

function api_send_chat_message_v1

class OneCo_hybrid_RAG_v3

class ExtensiveSearchManager_v1

function test_single_vendor

function main_v47

class VendorEnricher

function main_v14

class QAUpdater

class ChromaManager

Search Examples