Build multi-tenant agentic chat applications on enterprise data with Amazon Bedrock Managed Knowledge Base | Amazon Web Services
Multi-tenant agentic chat assistants have become a frequent request for large-scale customers, and document chat sits at the top of the list. A user uploads a contract, a report, or a product manual, and then researches or asks questions about it immediately or in the future. The conversational interface is straightforward to build, but the multi-tenant agentic retrieval system behind it is not.
Each tenant’s documents must stay isolated from every other tenant’s, and that boundary must be enforced from a verified identity rather than a value sent by the client. Agentic retrieval compounds the problem. The agent decomposes a question into sub-queries and runs multiple retrievals, and every one of those hops must carry the tenant filter or isolation breaks. You also still need a vector and full-text search engine, an ingestion pipeline that parses and embeds multiple modalities, and a synchronized index. For a team that set out...
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