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Brand : LangChain
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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.
Buy Now & Pay Later, Check offer on payment page. LangGraph helps developers build, manage, and orchestrate stateful AI agents with memory, tool integration, human-in-the-loop controls, and multi-step workflows. ...Read more
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Core Functionality
Natural Language Processing (NLP) Built on LLMs, enabling advanced text understanding, generation, and conversational capabilities. Autonomous Task Management Agents can plan, execute, and iterate tasks independently using graph logic and state tracking. Reasoning and Decision-Making Supports iterative reasoning loops and decision nodes for complex problem-solving scenarios. Learning and Adaptation
Machine Learning Integrates with ML/LLM models, allowing intelligent behavior powered by trained models and APIs. Deep Learning Leverages deep learning models indirectly via LLM APIs and integrations for intelligent behavior. Contextual Memory Maintains shared state across nodes, enabling agents to remember context within workflows. 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 Possible through LLMs or APIs, allowing agents to interpret emotional tone in user inputs dynamically. Multimodal Interaction Supports text, images, and more via integrated models capable of multimodal processing. Behavior Customization Developers can define agent logic, tools, and transitions to customize behavior deeply. Empathetic Responses Enabled via LLMs, allowing agents to generate emotionally aware and context-sensitive replies. Multi-Agent Collaboration Core capability enabling multiple agents to interact, coordinate, and solve tasks together. User Profiling Builds profiles based on user data to personalize interactions. Integration Capabilities
Third Party Integrations Strong support via tools and APIs, enabling connection with external services and data sources easily. API Connectivity Strong API-first design allows seamless interaction with external services and internal systems. Enterprise Software Integration Integrates with enterprise tools via APIs, enabling workflow automation across business systems. Data Analytics Integration Can connect with analytics tools for insights, reporting, and decision-making enhancements. IoT Integration Connects with Internet of Things devices for expanded interaction capabilities. Performance and Scalability
Load Balancing Achieved via deployment platforms, enabling distributed execution of agent workflows at scale. Real-Time Processing Supports near real-time execution depending on infrastructure and streaming integrations. Database Querying Can query databases via tools, enabling data retrieval and interaction within workflows. Dynamic Scaling Achieved via cloud infrastructure, allowing workflows to scale with demand and complexity. Offline Functionality Operates without internet connectivity, maintaining essential features. Advanced Features
Workflow Automation Core strength; enables graph-based automation with branching, looping, and dynamic task execution flows. Autonomous Problem Solving Agents can iteratively analyze and resolve problems using reasoning loops and tool usage. Knowledge Graphs Can integrate with knowledge graphs to enhance structured reasoning and contextual understanding. Complex Scenario Handling Designed for multi-step, branching, and recursive workflows handling sophisticated scenarios. Simulation and Forecasting Predicts future trends and outcomes based on current data. Security and Compliance
Audit Trail Tracks execution paths and state transitions, enabling reproducibility and debugging of agent workflows over time. Encryption Supports secure integrations and transport layers, depending on infrastructure and deployment environment setup. Data Privacy Depends on deployment; supports private environments and secure data handling through external controls. Regulatory Adherence Supports compliance via controlled deployments, logging, and secure integrations. Role-Based Access Control (RBAC) Restricts system access based on user roles to enhance security. Bias Mitigation Implements strategies to identify and reduce biases in decision-making processes. Analytics and Reporting
Performance Metrics Supports monitoring via integrations, helping evaluate latency, throughput, and efficiency of agent executions. Workflow Insights Provides visibility into execution paths, enabling analysis of how decisions and actions flow in graphs. Error Reporting Provides debugging and tracing capabilities to identify and handle workflow failures. Feedback Collection Can collect user or system feedback through integrated interfaces and logging mechanisms. Custom Reporting Enables custom logs and reports via integrations with analytics or monitoring tools. Interaction Insights Tracks agent interactions, helping analyze performance and improve workflows over time. Predictive Analytics Forecasts future trends based on historical data. Maintenance and Support
Self Monitoring Supports observability tools to monitor agent behavior, execution health, and system status. User Feedback Loop Allows iterative improvement by incorporating feedback into workflow logic or prompts. Iterative Updates Supports continuous refinement of workflows, enabling adaptive and evolving agent systems. Diagnostics and Debugging Strong debugging tools with state inspection and traceability for workflow execution. | Brand Name | LangChain |
| Information | LangChain is a platform that provides open-source frameworks and tools for engineering and deploying language model agents. |
| Founded Year | 2022 |
| Director/Founders | Ankush Gola, Harrison Chase |
| Company Size | 101-500 Employees |
| Other Products | LangChain |
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