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Agentset

4.6 (324 reviews)

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Agentset is an open-source platform for developers to build smart AI applications. It helps AI tools find very accurate answers by searching your documents, citing sources, and performing deep research. This makes creating powerful, document-based AI solutions much easier and faster.

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Overview Features Screenshots & Demo Use Cases Reviews FAQ Pricing

What is Agentset?

Who It's For

Agentset is for developers and organizations building smart AI tools. This includes AI for research, managing company knowledge, customer support bots, or any application needing to find answers within many documents.

What You Get

With Agentset, your AI finds very accurate answers using advanced search and deep research. It automatically shows where it found its information. It works with over 22 file types and is open-source, letting you host it yourself. It helps you build powerful AI tools much faster.

How It Works

Agentset reads your documents, breaks them into smaller, organized pieces, and turns this info into a format AI understands. When a question is asked, it quickly searches these pieces to find the most relevant parts. Then, it uses this information to give a clear and accurate answer.

Features & Capabilities

⚙️ Core RAG Functionality

High Accuracy RAG

Leverages best-in-class RAG techniques like hybrid search and reranking for superior result accuracy.

Agentic Deep Research

Supports built-in agentic experiences for in-depth research, surpassing traditional RAG systems.

Automatic Citations

Automatically cites the sources of generated answers, allowing users to inspect them.

Semantic Search

Utilizes state-of-the-art semantic search to retrieve the most relevant results from your data.

🔄 RAG Pipeline & Data Management

Document Parsing

Parses documents from over 22 file types, extracting content, metadata, and structure.

Intelligent Chunking

Chunks documents into smaller pieces while preserving content structure for effective reasoning.

Advanced Embedding

Embeds your knowledge base using state-of-the-art models for efficient and accurate retrieval.

Hybrid Retrieval

Employs a combination of hybrid search and reranking to retrieve the most relevant information.

Screenshots & Demo

See Agentset in action with screenshots and video demonstrations

Product Screenshots

Agentset

Build powerful RAG applications in seconds with agentic superpowers.

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Real-World Use Cases

Building Intelligent Internal Knowledge Bases

Organizations struggle with employees spending excessive time searching for information across disparate internal documents. Agentset enables the creation of high-accuracy, agentic RAG systems that provide precise, cited answers from internal policies, reports, and technical documentation, significantly improving internal efficiency and decision-making.

Industry: Enterprise SaaS • User Type: Knowledge Workers

Powering AI-Driven Customer Support Bots

Companies face high volumes of customer inquiries and a need for instant, accurate answers. Agentset allows developers to build sophisticated customer support chatbots and self-service portals that leverage deep research and citation capabilities to provide precise, transparent answers from product documentation and FAQs, reducing support load and improving customer satisfaction.

Industry: B2C SaaS • User Type: Customer Support Agents

Automating Pre-Sales Account Research

Sales and pre-sales teams require rapid, in-depth insights into prospects, industries, and competitors to personalize outreach and proposals. Agentset ingests vast external and internal data, using its agentic RAG to synthesize complex information into concise, cited research briefs, empowering sales professionals with critical intelligence for faster deal cycles.

Industry: B2B SaaS • User Type: Account Executives

Rapid Development of Document-Centric AI Applications

Developers often spend weeks building and scaling RAG infrastructure for AI applications, especially when high accuracy and agentic features are required. Agentset provides an open-source, RAG-as-a-service platform that abstracts these complexities, offering out-of-the-box capabilities for parsing, embedding, and retrieval, drastically reducing development time for document-optimized AI solutions.

Industry: Software Development • User Type: AI/ML Engineers