Best AI Agents for Elasticsearch

Retool is a platform that enables developers to combine the benefits of traditional software development with a drag-and-drop editor and AI to build internal tools faster. Every tool can be deployed anywhere, debugged with your toolchain, and shared reliably at any scale—ensuring good software by default. Retool is used by industry leaders such as Amazon, American Express, and OpenAI for mission critical custom software across operations, billing, and customer support.

Appsmith enables organizations to create custom internal applications quickly with minimal coding. The platform allows users to build applications by connecting data sources, APIs, and workflows through a user-friendly drag-and-drop interface. Appsmith's flexibility with JavaScript lets developers fully customize components, while the open-source architecture and enterprise security features ensure scalability and compliance. With self-hosting and cloud deployment options, businesses can choose the best setup for their needs, whether for simple dashboards or complex business applications. Appsmith offers a comprehensive solution for creating and deploying custom AI agents that can automate key business processes. Designed for sales, support, and people management teams, the platform allows companies to embed conversational agents into their systems. Appsmith's AI agents enhance operational efficiency by managing routine tasks, providing real-time insights, and boosting team productivity, all while leveraging secure data.

Achieve enhanced precision and control through LangGraph, enabling the creation of agents capable of efficiently managing intricate tasks. The LangGraph Platform facilitates the development and scaling of agent-driven applications. With its adaptable framework, LangGraph accommodates various control mechanisms, including single-agent, multi-agent, hierarchical, and sequential flows, effectively addressing intricate real-world challenges. Reliability is guaranteed by the straightforward integration of moderation and quality loops, which ensure agents remain focused on their objectives. Additionally, LangGraph Platform allows you to create templates for your cognitive architecture, making it simple to configure tools, prompts, and models using LangGraph Platform Assistants. Featuring inherent statefulness, LangGraph agents work in tandem with humans by drafting work for review and awaiting approval prior to executing actions. Users can easily monitor the agent’s decisions, and the "time-travel" feature enables rolling back to revisit and amend previous actions for a more accurate outcome. This flexibility ensures that the agents not only perform tasks effectively but also adapt to changing requirements and feedback.

Cognigy.AI is an enterprise-grade conversational AI platform designed to automate customer interactions across various channels, including voice and chat. Leveraging advanced natural language understanding (NLU) and large language models (LLMs), it enables businesses to create intelligent AI agents capable of delivering personalized, human-like conversations. The platform offers robust integration capabilities, allowing seamless connectivity with existing contact center and CRM systems to enhance customer experience orchestration. With features like Agentic AI, Cognigy.AI introduces autonomous, goal-oriented agents that can think, adapt, and collaborate with both AI and human agents, navigating complex queries with flexibility and precision. This comprehensive solution empowers organizations to streamline customer service operations, improve engagement, and achieve higher efficiency in handling customer inquiries.

Superblocks is a programmable, IDE that allows developers to create any internal app, workflow or scheduled job in a fraction of time and cost. Next month's roadmap will be available this week. Rapidly create apps, workflows and jobs that are connected to your data. Secure your data with granular permissions (RBAC), SSO and audit logs. Monitor production and deploy with Git. You can extend anything with code. You don't need to know HTML, CSS, or React. Drag and drop components, connect them with data, and make your app dynamic using trigger APIs. To improve the speed of your support team, you can create custom KYC, Compliance, AML and credit approval tools. Stop wasting time with CLIs. You can quickly create admin panels for your datastores so you can read, write, or update customer data using tables, forms, charts, and other tools. You can track deployment status and monitor versions from one pane of glass. Any deployment system you use can be read/written to. Clark is the first AI agent purpose-built for securely creating internal enterprise apps at scale. Designed to work within your company’s existing infrastructure, Clark uses your design systems, access controls, and private APIs to generate fully compliant internal tools. With the ability to build through AI prompts, drag-and-drop interfaces, or your favorite IDE, Clark unites business users and developers on a single governed platform.

Akira.ai offers organizations a suite of Agentic AI, which comprises tailored AI agents aimed at refining and automating intricate workflows across multiple sectors. These agents work alongside human teams to improve productivity, facilitate prompt decision-making, and handle monotonous tasks, including data analysis, HR operations, and incident management. The platform is designed to seamlessly integrate with current systems such as CRMs and ERPs, enabling a smooth shift to AI-driven processes without disruption. By implementing Akira’s AI agents, businesses can enhance their operational efficiency, accelerate decision-making, and foster innovation in industries such as finance, IT, and manufacturing. Ultimately, this collaboration between AI and human teams paves the way for significant advancements in productivity and operational excellence.

Collate is a metadata platform powered by AI that equips data teams with automated tools for discovery, observability, quality, and governance, utilizing agent-based workflows for efficiency. It is constructed on the foundation of OpenMetadata and features a cohesive metadata graph, providing over 90 seamless connectors for gathering metadata from various sources like databases, data warehouses, BI tools, and data pipelines. This platform not only offers detailed column-level lineage and data profiling but also implements no-code quality tests to ensure data integrity. The AI agents play a crucial role in streamlining processes such as data discovery, permission-sensitive querying, alert notifications, and incident management workflows on a large scale. Furthermore, the platform includes real-time dashboards, interactive analyses, and a shared business glossary that cater to both technical and non-technical users, facilitating the management of high-quality data assets. Additionally, its continuous monitoring and governance automation help uphold compliance with regulations such as GDPR and CCPA, which significantly minimizes the time taken to resolve data-related issues and reduces the overall cost of ownership. This comprehensive approach to data management not only enhances operational efficiency but also fosters a culture of data stewardship across the organization.

Doctor Droid is an innovative AI-powered platform aimed at transforming how engineering teams monitor and resolve issues. It streamlines intricate investigations by adhering to established procedures, analyzing data from various integrations, pinpointing root causes, and implementing standardized runbooks for automated recovery. By actively monitoring alerts, Doctor Droid equips teams with pertinent data and insights, thereby cutting down on-call time by as much as 80% and enabling quick responses from engineers. Additionally, it enhances the onboarding experience for new engineers by automating document searches, familiarizing them with new tools, and helping them understand data, which allows them to take on primary on-call responsibilities right from the start. Furthermore, Doctor Droid is capable of conducting spontaneous investigations, such as scrutinizing Kubernetes clusters or reviewing recent deployments, while also adapting to create new strategies based on user recommendations and existing documentation. It boasts seamless integration with over 40 different tools throughout the technology stack, which significantly enhances its functionality and versatility. As a result, engineering teams can operate more efficiently and effectively in a rapidly evolving environment.

An AI agent designed to interpret information from your ticketing systems, customer relationship management tools, knowledge repositories, and release documentation can significantly enhance the efficiency of your support teams in ticket resolution. It streamlines the process by automatically directing tickets to the appropriate department based on their content. Transitioning from a reactive support model to a proactive one is possible by identifying potential issues before they escalate. Additionally, it organizes tickets into prevalent topics and patterns, thereby enriching knowledge bases to help decrease the overall ticket volume. BREVIAN AI agents come equipped with built-in security and safety features, eliminating the need for multiple product integrations to achieve enterprise readiness. They allow for the implementation of uniform controls that are independent of your data and models. Furthermore, business teams can integrate various agents to create an intelligent network that spans across their enterprise data. This solution also facilitates knowledge extraction from both structured and unstructured data, including images, enhancing overall data utility. Overall, leveraging such technology can lead to marked improvements in operational efficiency.