Agentset
Agentset provides fast, high-quality semantic search powered by RAG. It helps teams turn documents into queryable knowledge using namespaces, ingest jobs, and search capabilities designed for relevance—plus filtering and reranking to improve answer quality. The platform is built for teams that need reliable retrieval across evolving document collections, not just basic keyword matching.
Connecting Agentset enables BOBs to build and maintain organized knowledge spaces, then retrieve the right information quickly when solving real business work. Instead of relying on scattered files or slow manual lookup, BOBs can create namespaces for different teams, projects, or clients, ingest new documents in a structured way, and continuously expand what the business can “ask”.
When a job requires reliable grounding—like answering customer questions, drafting internal briefs, or summarizing policy and product details—BOBs can run Agentset searches with filtering and reranking to surface the most relevant passages. This helps reduce irrelevant results, improve answer precision, and supports end-to-end retrieval workflows that stay current as new documents arrive.
What can BOBs do with Agentset?
Perform actions
- Agentset Search Namespace
- Create Ingest Job
- Create Namespace
Listen to real-time events
- New Document Created
- New Ingest Job Created