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Search Results for "chroma"

Found 34 matching component(s)

  • 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

  • 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 DocumentProcessor_v4

    Process different document types for RAG context extraction

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

    class documentprocessor

  • class ImprovedProjectVictoriaGenerator

    Improved Project Victoria Disclosure Generator with proper reference management.

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

    class improvedprojectvictoriagenerator

  • 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

  • function main_v32

    Entry point function that executes a comprehensive test suite for Chroma DB collections, including collection listing and creation tests, followed by troubleshooting suggestions.

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

    testing debugging chroma-db database collections

  • 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

    Custom embedding function class that integrates OpenAI's embedding API with Chroma DB for generating vector embeddings from text documents.

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

    embeddings openai chroma vector-database nlp

  • class DocumentProcessor_v5

    Process different document types for RAG context extraction

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

    class documentprocessor

  • 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 api_update_system_config

    Flask API endpoint that allows administrators to update system configuration settings including system role, expertise, domain context, custom instructions, output style, and query languages, with persistence to disk.

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

    admin configuration system-settings api-endpoint flask

  • 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 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 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 integrate_docchat

    One-line integration function that configures and registers the DocChat component into a Flask application, handling dependency checking, configuration, and blueprint registration.

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

    flask integration setup configuration blueprint

  • 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_v5

    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

  • 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 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 QAUpdater_v1

    Orchestrates the Q&A document updating process.

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

    class qaupdater

  • 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

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