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

Search Results for "research"

Found 39 matching component(s)

  • function validate_and_alternatives

    Validates whether a given keyword is a valid chemical compound, biochemical concept, or drug-related term using GPT-4, and returns alternative names/synonyms if valid.

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

    validation chemistry biochemistry drug-research llm
  • 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 search_for_folders

    Searches for specific predefined folders in a SharePoint site using Microsoft Graph API and prints the search results with their locations.

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

    sharepoint microsoft-graph folder-search api document-management
  • function search_and_locate

    Searches for specific numbered folders (01-08) in a SharePoint site and traces their locations, contents, and file distributions by type.

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

    sharepoint search diagnostic folder-discovery microsoft-graph
  • function check_site_vs_channels

    Diagnostic function that analyzes and compares SharePoint site structure, specifically examining the main site document library versus Teams channel document libraries to identify the correct library for synchronization.

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

    sharepoint diagnostic microsoft-graph document-library teams-channels
  • function compare_with_expected_folders

    Compares SharePoint folders found via Microsoft Graph API against a predefined list of expected folder names from a reference screenshot, reporting matches, missing folders, and additional folders.

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

    sharepoint validation folder-comparison microsoft-graph testing
  • 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 test_with_simulated_content

    Tests LLM-based contract analysis prompts using simulated NDA content containing a term clause to verify extraction of contract dates and metadata.

    File: /tf/active/vicechatdev/contract_validity_analyzer/test_local_document.py

    testing contract-analysis llm nda date-extraction
  • class ContractDataExtractor

    Extract structured data from legal contracts using LLM analysis

    File: /tf/active/vicechatdev/contract_validity_analyzer/extractor.py

    class contractdataextractor
  • 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 StatisticalAgent

    LLM-powered statistical analysis agent

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

    class statisticalagent
  • function main_v95

    Performs comprehensive exploratory data analysis on a broiler chicken performance dataset, analyzing the correlation between Eimeria infection and performance measures (weight gain, feed conversion ratio, mortality rate) across different treatments and challenge regimens.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/343f5578-64e0-4101-84bd-5824b3c15deb/project_1/analysis.py

    data-analysis exploratory-data-analysis veterinary-research poultry-health correlation-analysis
  • function create_sample_data_v2

    Generates a synthetic dataset of 200 poultry research records with multiple treatment groups, challenge regimens, and performance metrics for demonstration purposes.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/5a059cb7-3903-4020-8519-14198d1f39c9/analysis_1.py

    data-generation synthetic-data poultry-research veterinary coccidiosis
  • function identify_variables

    Categorizes DataFrame columns into Eimeria infection variables, performance measure variables, and grouping variables based on keyword matching in column names.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/5a059cb7-3903-4020-8519-14198d1f39c9/analysis_1.py

    data-preprocessing variable-classification keyword-matching veterinary-research eimeria
  • function calculate_correlations

    Calculates both Pearson and Spearman correlation coefficients between Eimeria variables and performance variables, filtering out missing values and identifying statistically significant relationships.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/5a059cb7-3903-4020-8519-14198d1f39c9/analysis_1.py

    correlation statistics data-analysis pearson spearman
  • function grouped_correlation_analysis

    Performs Pearson correlation analysis between Eimeria-related variables and performance variables, grouped by specified categorical variables (e.g., treatment, challenge groups).

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/5a059cb7-3903-4020-8519-14198d1f39c9/analysis_1.py

    correlation-analysis grouped-analysis statistical-analysis pearson-correlation eimeria
  • function create_scatter_plots

    Creates scatter plots with linear regression lines showing relationships between Eimeria variables and performance variables, grouped by categorical variables, and saves them as PNG files.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/5a059cb7-3903-4020-8519-14198d1f39c9/analysis_1.py

    data-visualization scatter-plot regression-analysis correlation pearson-correlation
  • function generate_conclusions

    Generates and prints comprehensive statistical conclusions from correlation analysis between Eimeria infection variables and broiler performance measures, including overall and group-specific findings.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/5a059cb7-3903-4020-8519-14198d1f39c9/analysis_1.py

    statistical-analysis correlation reporting data-analysis veterinary-research
  • function main_v36

    Orchestrates a complete correlation analysis pipeline for Eimeria infection and broiler performance data, from data loading through visualization and results export.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/5a059cb7-3903-4020-8519-14198d1f39c9/analysis_1.py

    data-analysis correlation statistics veterinary agriculture
  • class DocumentDashboard

    Dashboard for viewing and managing controlled documents.

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

    class documentdashboard
  • class StatisticalAgent_v1

    LLM-powered statistical analysis agent

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

    class statisticalagent
  • function get_dbo_interventionprotocols_by_id

    Retrieves a single dbo_InterventionProtocols node from a Neo4j graph database by its unique ID.

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database query database-retrieval intervention-protocols
  • function create_dbo_interventionprotocols

    Creates a new node of type dbo_InterventionProtocols in a Neo4j graph database with the specified properties.

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database database-insert node-creation cypher-query
  • function get_lims_samples_with_references_flocks_dbo_flocks

    Queries a Neo4j graph database to retrieve dbo_Flocks nodes that are connected to a specific LIMS_Samples node through a REFERENCES_FLOCKS relationship.

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database cypher-query lims flocks
  • function get_dbo_interventionprotocolflocks_with_references_interventionprotocols_dbo_interventionprotocols

    Queries a Neo4j graph database to retrieve dbo_InterventionProtocols nodes that are connected to a specific dbo_InterventionProtocolFlocks node via a REFERENCES_INTERVENTIONPROTOCOLS relationship.

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database cypher-query relationship-traversal intervention-protocols
  • function get_dbo_treatments_with_references_establishment_dbo_establishment

    Queries a Neo4j graph database to retrieve dbo_Establishment nodes that are connected to a specific dbo_Treatments node through a REFERENCES_ESTABLISHMENT relationship.

    File: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py

    neo4j graph-database cypher-query relationship-traversal healthcare
  • class StatisticalAgent_v2

    LLM-powered statistical analysis agent

    File: /tf/active/vicechatdev/smartstat/statistical_agent.py

    class statisticalagent
  • class QueryParser

    A parser class that converts LLM-generated query response text into structured dictionaries containing various search query types, metadata, and parameters.

    File: /tf/active/vicechatdev/QA_updater/core/query_parser.py

    parser LLM query-processing text-parsing structured-data
  • class LiteratureClient

    A client class for searching and retrieving scientific literature from multiple academic databases including PubMed, Semantic Scholar, arXiv, and ScienceOpen.

    File: /tf/active/vicechatdev/QA_updater/data_access/literature_client.py

    literature-search academic-databases pubmed semantic-scholar arxiv
  • class DocumentDownloader

    A client class for downloading documents (primarily PDFs) from various sources, managing download caching, respecting rate limits per domain, and processing documents using llmsherpa for content extraction.

    File: /tf/active/vicechatdev/QA_updater/data_access/document_downloader.py

    document-download pdf-processing rate-limiting caching llmsherpa
  • class ClinicalTrialsClient

    A client class for searching and retrieving clinical trial data from multiple international sources including ClinicalTrials.gov, EU Clinical Trials Register, WHO ICTRP, and OpenTrials.

    File: /tf/active/vicechatdev/QA_updater/data_access/clinical_trials_client.py

    clinical-trials medical-research api-client data-aggregation rate-limiting
  • class GoogleSearchClient

    A client class for performing Google searches using the Serper API through LangChain's GoogleSerperAPIWrapper, providing both single and batch search capabilities.

    File: /tf/active/vicechatdev/QA_updater/data_access/google_search_client.py

    google-search serper-api web-search langchain api-client
  • 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
  • function main_v39

    Main entry point function that orchestrates a file synchronization process from a FileCloud source to a local directory, with progress reporting and error handling.

    File: /tf/active/vicechatdev/UQchat/download_uq_files.py

    file-sync filecloud main-entry-point cloud-storage directory-sync
  • class DocumentDashboard_v1

    Dashboard for viewing and managing controlled documents.

    File: /tf/active/vicechatdev/CDocs single class/ui/document_dashboard.py

    class documentdashboard
  • class Tasklist

    A class for tracking and managing the status of study tasks through a Neo4j graph database, monitoring progress through a predefined sequence of workflow steps.

    File: /tf/active/vicechatdev/resources/taskmanager.py

    workflow-management task-tracking neo4j graph-database status-monitoring
  • function demo_hybrid_response

    Demonstrates end-to-end hybrid response processing by converting an LLM response containing text and graphics placeholders into a formatted PDF document.

    File: /tf/active/vicechatdev/e-ink-llm/demo_hybrid_mode.py

    demo hybrid-response pdf-generation graphics-processing async
  • class MultiPagePDFProcessor

    A class for processing multi-page PDF documents with context-aware analysis, OCR, and summarization capabilities.

    File: /tf/active/vicechatdev/e-ink-llm/multi_page_processor.py

    pdf-processing document-analysis ocr multi-page context-aware

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