News Featured Announcing: Zep Fact Ratings Not all user Facts extracted by Zep are relevant to your application. Fact Ratings help Zep understand the relevance of a Fact to your use case.
News Featured Zep v0.17 - Summary Search and Enrichment, Scalability Improvements Zep now supports searching chat history summaries helping developers provide rich, succinct context to LLMs.
News Featured Announcing Zep Archive: Records Retention and Right To Be Forgotten Zep Simplifies LLM App Compliance with Data Privacy Regulations like GDPR and CCPA
News Featured Announcing Zep's New Web Admin UI! 🔥🎉 View, edit, and delete Users, Sessions, and Collections. See complete message histories, data enrichments, and more.
llamaindex Featured Zep ❤️ LlamaIndex: A Vector Store Walkthrough LlamaIndex is a simple but powerful framework for building LLM apps. It's also an excellent tool for populating and searching Zep's Vector Store. This walkthrough demonstrates using LlamaIndex's new ZepVectorStore to do just that.
News Featured Introducing the Zep Document Vector Store With the addition of a Document Vector Store, Zep is now a single, batteries-included platform for grounding LLM apps with long-term memory.
News ICYMI: Zep X Langchain, Session Metadata, and more 🔥⚡️ July was a busy month at Zep! Just in case you missed anything, here's a roundup: Diagnosing and Fixing Slow Chatbots 🐢🐢🐢 (originally published on the Langchain blog) Is your LLM app slow? Poor chatbot response times can result in frustrated users and churn. Langchain’s new LangSmith service
News Featured Session Metadata 👾, Custom OpenAI Endpoints 🔧, & Kubernetes Deployment 🔥 Zep now includes support for adding arbitrary metadata to Sessions and more deployment options
langchain Improved Langchain Support! Langchain now includes improved support for Zep, with a new ZepMemory class, access to enriched messages, and more.
langchain Featured Semantic Similarity as an Intent Router for LLM Apps Ensuring your LLM app understands user intent is crucial in offering a great experience. We build an intent router using Langchain, which automatically selects the prompt best suited to a task.
News New Features: JWT Authentication, Azure OpenAI APIs, & Configurable Hard Deletion Zep now supports JWT Authentication, Azure OpenAI APIs and OpenAI OrgIDs, and a configurable, periodic purge of soft-deleted data.
Featured Introducing Intents Zep's Intent Extractor identifies the intent of a message, persisting this to message metadata. 💡 With intent data, developers can build richer, more personalized agent interactions. 🔥
News Featured Introducing Open Source Embeddings! 🔥 Zep now has support for open source embedding models. Search your LLM App's chat history faster and more cheaply.
Featured Personalizing LLM Interactions: Harnessing Generative Feedback Loops LLM Applications can be personalized using Generative Feedback Loops through advanced memory & personalization.
News Featured 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.
News Featured Announcing Zep's Entity Extractor! Today we're launching Zep's EntityExtractor, a Named Entity Recognition tool built using state-of-the-art NLP toolkit, spaCy. With Zep's EntityExtractor, developers can build sophisticated features that: * Trigger the use of custom prompts or agent branching; * Annotate the chat history, enhancing the experience for users with
News Featured Introducing Zep: Long-term Memory Storage and Enrichment for AI Apps Chat history storage is an infrastructure challenge all developers and enterprises face as they look to move from prototypes to productionizing LLM/ AI Chat applications that provide rich and intimate experiences to users. Zep allows developers to focus on developing their AI apps, rather than building memory persistence, search, and
