Agentset is a comprehensive RAG-as-a-service (Retrieval-Augmented Generation) platform that enables developers to build sophisticated AI applications without managing complex infrastructure. It's an open-source platform designed for developers and organizations building smart AI tools, including applications for research, company knowledge management, customer support bots, and any system needing to find accurate answers within large document collections.

What are Agentset's document processing and search capabilities?

Agentset processes documents in multiple formats including PDF, TXT, HTML, DOCX, and over 22 file types total. The platform employs advanced retrieval techniques including semantic search, multi-vector embeddings, and intelligent reranking to surface the most relevant results.

What agentic capabilities does Agentset possess?

The platform includes built-in planning and reasoning features where AI agents can handle multi-step queries, automatically expand queries for comprehensive results, and validate answers to ensure accuracy and reliability. Agentset also supports deep research functionality that takes longer to return results but reviews more sources and provides in-depth answers with greater context.

How does Agentset handle citations and source attribution?

Agentset automatically cites the sources of answers, allowing users to inspect where information came from.

How does Agentset work?

Agentset reads your documents, breaks them into smaller organized pieces, and converts this information into a format AI can understand. When a question is asked, the platform quickly searches these pieces to find the most relevant parts, then uses this information to generate clear and accurate answers.

What SDKs and integrations does Agentset offer?

The platform offers official JavaScript and Python SDKs with full type safety. You can upload data and get production-ready applications in hours. Agentset also provides a REST API with comprehensive OpenAPI specifications and an MCP server to bring your knowledge base to external applications.

Does Agentset provide options for users with no coding experience?

For teams without coding expertise, Agentset supports no-code interfaces where you can configure workflows using simple dropdown menus, with most teams having their first RAG workflow running in under 15 minutes.

Can Agentset process documents in real-time?

Yes, Agentset can process documents in real-time as they're created. Documents can be made searchable within seconds of creation, ensuring your knowledge base stays current.

What are Agentset's scalability and security features?

Agentset is built to handle large document collections and high query volumes. The platform provides self-hosting options for complete control over your infrastructure.

Does Agentset support metadata filtering?

Agentset supports metadata filtering, allowing you to base answers on a subset of your data.

How flexible is Agentset regarding model integration?

The platform is model-agnostic, letting you select your own vector database, embedding model, and large language model. It integrates with various AI providers including OpenAI, Anthropic, Google AI, xAI Grok, and others.

Does Agentset offer production monitoring?

Built-in observability and performance monitoring help track application performance in production.

How can I get started with Agentset?

You can get started with Agentset in as little as 5 minutes, with a free trial available. The platform provides comprehensive documentation and SDKs to help you build production-ready RAG applications quickly.

Agentset

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Agentset helps developers build accurate AI apps like research tools or customer support bots. It uses smart techniques to give your AI unlimited context, fewer errors, and automatic citations. This makes building reliable AI faster and simpler, letting you skip the complex setup work.

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Overview Features Use Cases FAQ Integrations Pricing

About Agentset

Who It's For

Agentset helps developers and companies build smart AI applications like research tools or customer support bots. It's for anyone needing accurate answers from many documents. Teams with or without coding skills can use it easily.

What You Get

You get highly accurate AI answers through deep research and automatic citations. Agentset handles over 22 file types and lets you pick your own AI models. It also offers strong security features.

How It Works

Agentset reads your documents, organizes them, and makes them ready for AI. When you ask a question, it finds the best information quickly. Then, it uses this to give clear and accurate answers, speeding up AI app development.

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Features & Capabilities

🚀 Core RAG Performance

Reliable Accuracy

Incorporates best-in-class RAG techniques like hybrid search and reranking for high result accuracy.

Deep Research Capabilities

Conducts extensive source review to provide in-depth answers with rich context.

Automatic Citations

Automatically provides sources for answers, allowing users to verify information.

Metadata Filtering

Enables answers to be based on specific subsets of data using metadata filters.

🛠️ Developer Tools & Integration

SDKs & File Support

Provides JavaScript and Python SDKs supporting over 22 file formats for rapid data upload.

Model Agnostic Architecture

Allows selection of preferred vector database, embedding model, and large language model.

External Application Integration

Offers an MCP server to connect your knowledge base with external applications.

AI SDK Compatibility

Seamlessly integrates with AI SDKs for easy incorporation into existing applications.

🔒 Data Security & Deployment

End-to-End Encryption

Secures data with bank-grade AES-256 encryption and TLS during transmission.

Bring Your Own Cloud

Supports using Agentset with your existing vector database, storage bucket, or AI models.

EU Data Residency

Ensures data processing exclusively on EU servers for enhanced compliance.

On-Premise Deployment

Enables deployment within your private cloud environment for full security control.

Use Cases

Building Highly Accurate Internal Knowledge Bases

Companies struggle to provide employees with fast, accurate answers from vast internal documentation, leading to inefficiencies and wasted time. Agentset's reliable accuracy through hybrid search and reranking, deep research capabilities, and support for over 22 file formats enable organizations to quickly deploy internal RAG applications that deliver precise, cited answers, dramatically improving employee productivity.

Enterprise, B2B SaaS, Financial ServicesFor: Knowledge Management Teams, Internal Support, R&D Teams

Automating Intelligent Customer Support & Service

Delivering instant, precise answers to customer queries is crucial for satisfaction but is often hindered by outdated information and a lack of context. Agentset enables the creation of intelligent chatbots that leverage real-time document processing and deep research to provide accurate, cited answers to complex customer inquiries, significantly enhancing customer satisfaction and operational efficiency.

Customer Service, E-commerce, B2B SaaSFor: Customer Support Teams, Customer Success Managers, Service Operations

Rapid Development of Production-Ready RAG Apps

Developers face significant time investment and complexity in building reliable RAG applications from scratch, dealing with infrastructure setup and retrieval optimization. Agentset provides robust SDKs (JavaScript, Python), extensive file format support, and built-in RAG best practices, allowing developers to bring production-ready AI applications to market in hours rather than months.

Software Development, AI/ML, B2B SaaSFor: AI/ML Engineers, Software Developers, Product Managers

Deploying Secure & Compliant Enterprise RAG Solutions

Organizations in regulated industries must deploy AI applications that handle sensitive data while adhering to strict security and compliance standards like data residency. Agentset offers end-to-end encryption, 'bring your own cloud' options, EU data residency, and on-premise deployment, providing the necessary control and security for deploying RAG applications in highly sensitive environments.

Financial Services, Healthcare, Government, Legal, EnterpriseFor: Security Officers, Compliance Managers, IT Operations, Enterprise Architects

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