Retrieval
Search, reranking, context assembly and latency.
Agent memory placement can cut your token bill up to 2x
Agent memory has to refresh every turn, but putting it in the system prompt breaks prompt caching and re-bills the whole conversation each turn. Here is the one-message fix, and the token savings it led to in an experiment.
Smart Context Assembly: Fewer Tokens, Better Quality
Today we're announcing Smart Context Assembly, an upgrade to how Zep's default Context Block is built: higher accuracy from fewer tokens, with no code changes.
Zep's 5 Context Types: How to Use and Combine Each One
Zep produces five distinct types of context from a user's graph. Each captures something different. Here's when to reach for each, and how to combine them in one prompt.
Context You Can Trace, Filter, and Trust
Every fact in your agent's context graph came from somewhere. Zep's provenance architecture traces facts back to their source data — and lets you filter retrieval by origin.
3 Decisions That Shape Every Agent's Context Architecture
Every agent context architecture comes down to three decisions: scope, data sources, and retrieval strategy. A framework for reasoning about persistent context for AI agents.
The Retrieval Tradeoff: What 50 Experiments Taught Us About Context Engineering
Zep builds temporal knowledge graphs from conversations and business data, then automatically retrieves relevant context when your agent needs it.
How We Scaled Zep 30x in 2 Weeks (and Made It Faster)
Our infrastructure broke under 30x growth. Six weeks later, we made Zep faster than before: 10x better latency, 92% faster processing.
Zep v3: Context Engineering Takes Center Stage
Context engineering > prompt engineering: Zep v3 assembles memory & business data for agents that work.
The One-Token Trick
How single-token LLM requests can improve RAG search at minimal cost and latency.
How do you search a Knowledge Graph?
Can you build graph search that's both elegant & powerful? Here's how we did it in Graphiti, Zep's open source temporal Knowledge Graph library.
Building A Russian Election Interference Knowledge Graph
How we built a Knowledge Graph-based app for exploring Russian interference in the run-up to the 2024 US elections.
Beyond Chat Memory: Making AI Interactions More Personal
Zep now connects user conversations and business data to help AI agents understand and serve users better.
Introducing Zep Hybrid Search and Custom Metadata
Zep now supports both vector search over message text and filtering on message metadata, including system metadata such as Named Entities and creation dates.
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