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Brand : workday
4.3 
4 Ratings
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Starting at
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Save upto 18%, Get GST Invoice on your business purchase | 
Users with registered businesses can purchase goods from merchants on the platform to satisfy their business needs. Users are not permitted to utilize any products acquired through the platform for resale, advertising, business, or further distribution.
For each purchase made, users will receive a Tax Invoice (or 'GST invoice') that includes specific details such as:
the GSTIN of the user associated with their registered business, and
the specified Entity Name for their business.
It should be noted that not all products are eligible for GST Invoice. Only the products displayed by participating sellers with the 'GST-based Invoice Available' callout on the product description page would qualify.
Certain goods and services are not eligible to get a GST Invoice, including items with VAS, i.e., Value Added Services (e.g., Total Mobile Protection/Assured Buyback) and those involving an exchange offer at the time of purchase.
Users must ensure the accuracy of the GSTIN, and business entity name provided for the GST Invoice. Requests for corrections into GST Invoice would not be accommodated by Techjockey.com or any Seller, and any issues arising from user-provided information are the sole responsibility of users.
Techjockey.com is not liable for the GST Invoice or any associated input tax credit. To efficiently claim an input tax credit, users should select the registered place of business address as per the GST authority's data and follow the provisions of the GST Act and rules.
To claim an input tax credit, the delivery and billing addresses must match. Furthermore, input tax credits will not be granted if the delivery address and GSTIN on the invoice are from different states. In case of incorrect GST details provided during the order placement, the order will be canceled automatically.
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Core Functionality
Natural Language Processing (NLP) Core functionality used for processing, interpreting, and generating human-like text responses. Autonomous Task Management Supported through Agentflow where agents can use tools to complete multi-step tasks independently. Reasoning and Decision-Making Agents use ReAct or Plan-and-Execute logic to determine the best actions based on user input. Learning and Adaptation
Machine Learning Built to integrate with various ML models and frameworks like LangChain and LlamaIndex for AI development. Deep Learning Facilitates the use of deep learning models (LLMs/Embeddings) through various API integrations. Contextual Memory Includes nodes for Buffer, Summary, and Window memory to maintain conversation context. Supervised and Reinforcement Learning Learns from labeled data and through feedback mechanisms to optimize actions. Long-Term Learning Develops long-term memory to adapt to user preferences and behaviors over time. Interaction Capabilities
Sentiment Analysis Achievable by configuring specific LLM chains or nodes designed for text classification and emotion detection. Multimodal Interaction Supports models and tools capable of processing text, images, and audio files. Behavior Customization Allows users to define system prompts and agent "personas" to control tone and response style. Empathetic Responses Can be configured through prompt engineering to ensure models respond with a specific emotional tone. Multi-Agent Collaboration Allows multiple specialized agents (e.g., Researcher, Writer) to work together on one task. User Profiling Builds profiles based on user data to personalize interactions. Integration Capabilities
Third Party Integrations Connects with 100+ tools including Slack, Discord, Notion, and various vector databases. API Connectivity Every flow created can be instantly exposed as a REST API endpoint for external use. Enterprise Software Integration Integrates with enterprise tools like Microsoft Teams, Salesforce, and SQL databases. Data Analytics Integration Connects to data sources like CSV, JSON, and SQL for RAG-based analysis and reporting. IoT Integration Connects with Internet of Things devices for expanded interaction capabilities. Performance and Scalability
Real-Time Processing Supports streaming responses and real-time interaction through WebSockets and APIs. Offline Functionality Can be run fully offline when self-hosted and connected to local LLMs (e.g., via Ollama). Database Querying Features dedicated nodes for querying SQL (PostgreSQL, MySQL) and NoSQL databases. Load Balancing Distributes workloads evenly across resources to maintain performance. Dynamic Scaling Adjusts resource allocation based on demand to ensure scalability. Advanced Features
Workflow Automation Enables drag-and-drop creation of complex LLM sequences and automated agentic tasks. Autonomous Problem Solving Agents can iteratively use tools and self-correct to solve complex user queries. Knowledge Graphs Supports GraphRAG and integrations with Neo4j to manage structured relational data. Complex Scenario Handling Uses conditional logic (If/Else) and multi-agent loops to manage intricate workflows. Simulation and Forecasting Predicts future trends and outcomes based on current data. Security and Compliance
Audit Trail Tracks flow modifications and execution history for security and compliance monitoring. Encryption Ensures sensitive credentials and API keys are stored with encryption-at-rest within the database. Data Privacy Offers self-hosting options to ensure data remains within private infrastructure without external leaks. Role-Based Access Control (RBAC) Available in the Cloud/Enterprise versions to manage user permissions and workspace access. Regulatory Adherence Facilitated through self-hosting and data moderation tools to meet GDPR or HIPAA standards. Bias Mitigation Implements strategies to identify and reduce biases in decision-making processes. Analytics and Reporting
Performance Metrics Provides tracking for API latency, token usage, and flow execution success rates via Analytic nodes. Workflow Insights Offers visual debugging and tracing (via LangSmith integration) to understand flow logic and execution. Error Reporting Provides detailed execution logs and error messages within the UI for troubleshooting. Feedback Collection Includes Human-in-the-loop nodes to collect user approval or feedback during a flow. Interaction Insights Tracks user questions and agent responses to analyze how the system is being utilized. Predictive Analytics Forecasts future trends based on historical data. Custom Reporting Generates tailored reports to meet specific analytical needs. Maintenance and Support
Self Monitoring Can be configured to monitor its own performance via health-check endpoints and metrics. User Feedback Loop Enables the creation of workflows that ask for user confirmation before proceeding with actions. Iterative Updates Supports versioning and rapid prototyping to refine flows based on performance results. Diagnostics and Debugging Features a Trace view to inspect exactly what data passed through each node in a flow. | Brand Name | workday |
| Information | Workday provides SaaS-based enterprise solutions for a company's human resources and financial management activities. |
| Founded Year | 2005 |
| Director/Founders | Aneel Bhusri, Dave Duffield |
| Company Size | 1-100 Employees |
| Other Products | Workday HR, Workday SIS, Pipedream |
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