Build AI apps that remember everything.
Retriever is the first unified memory layer for AI apps. Remember and query across files, chats, user preferences, and more.
Projects/Support Assistant
Support Assistant3 documents
1 extraction template
3,465 users
Documents
Brand Voice
2h ago
Product Details
3d ago
Return Policy
1w ago
Users
#3,465
27 memories
#3,464
14 memories
#3,463
1 memory
Use cases:
Support Assistant
AI SDR
Language Tutor
Onboarding Assistant
+ More
Get to market fasterReduce months to days on your project roadmap. Let Retriever handle the complexity of production-grade AI memory.
Save on token costsInstead of stuffing your context window, Retriever returns only the relevant context for a given LLM call.
Improve response qualityContext window stuffing deteriorates the quality of your responses over time. With Retriever, your LLM maintains long-horizon context without deteriorating over time.
Optimize and improve performanceRetriever’s built-in tracing and observability enables continuous improvement of your LLM app.
Developers
Remember anything. Query everything.
Unified ingestion and query engineIngest and query across files, chats, user preferences, and more.
ConversationsInfer user characteristics and preferences through conversations.
MetadataExtract memories about your users into structured data.
DocumentsDocument ingestion, parsing, chunking, and retrieval.
Access from anywhereIngest and query memories via REST API, MCP, Typescript SDK, or Python SDK.
TuneableGranular control over every aspect of ingestion and retrieval. Start with great defaults, then tune to your needs.
PII RedactionBuilt-in data tokenization scrubs personal information from memories without impacting performance.
Unified queriesQuery across memory types with vector similarity or full-text search.
Get startedProduction-grade memory in minutes.
Turn “that will take months” into “that will take days.”