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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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OverviewFeaturesUse CasesFAQIntegrationsPricing

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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Compound Context

Give your AI a memory

Build one knowledge base all your AI tools draw from, kept current with your review.

Course

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

Frequently asked questions

Tags

information retrievalknowledge base integrationcontext managementhybrid searchcustomer support bot

Specifications

Deployment
Browser
API
Self-hosted
Cloud
Target Audience
Individual
Startup
Business
Enterprise
Complexity
Expert

Pricing

Free

Per monthly

Free
  • 1,000 pages
  • 10,000 retrievals
  • Community support
  • RAG
  • Citations & Sources
  • Semantic Search
  • Text files support
  • HTML files support
  • PDF files support
  • Managed deployment

Pro

Per monthly

$49
  • 10,000 pages
  • Unlimited retrievals
  • $0.01 per additional page
  • $100 per connector
  • Email support
  • RAG
  • Deep Research
  • Citations & Sources
  • Semantic Search
  • Text files support
  • HTML files support
  • PDF files support
  • Managed deployment
  • Community support

Enterprise

Per monthly

Free
  • Includes all features from the Pro plan
  • Unlimited pages and retrievals
  • On-premise or BYOC
  • SOC 2, HIPAA, and GDPR reports
  • Single-sign on
  • Dedicated engineering support
  • Custom formats support
  • Self-hosted deployment
  • Custom integrations
  • Account manager

✓ Free trial • ✓ Free plan • ✓ Plans from $49 / monthly • ✓ Enterprise options

Integrations

GitHub
xAI Grok
Google AI
Anthropic
OpenAI
Azure

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