HNSW Indexes and Custom Prompts! Zep v0.13.0, released today, now includes support for HNSW indexes and the ability to set custom prompts for summarization tasks. Hierarchical Navigable Small World (HNSW) indexes are faster and more accurate than IVFFLAT indexes previously used by Zep. Not only that, they are also simpler to maintain as
Featured Announcing Zep's New Web Admin UI! 🔥🎉 View, edit, and delete Users, Sessions, and Collections. See complete message histories, data enrichments, and more.
ICYMI: Zep Vector DB, User Store, LlamaIndex support & more! Wow, despite the great August weather in California 🌴☀️, we shipped a ton of good stuff 🚀. Here's the run-down in case you missed it: * We shipped the Zep Vector Store. 🔎 Zep is now a single, batteries-included platform for grounding LLM apps with long-term memory. * We partnered with LangChain to
Introducing the Zep User Store Zep v0.11.0, released today, now includes a User Store. A User represents an individual interacting with your application. The User object and its associated Sessions provide a powerful way to manage and understand the behavior of individuals using your application. Users may have additional data associated with them,
Foundations of LLM App Building in TypeScript Learn how to build three foundational LLM apps using TypeScript, LangChain.js, and Zep.
Announcing Anthropic Claude Support! 🎉 Zep v0.10.0, released today, supports Anthropic's Claude family of LLMs for summarization and extraction tasks.
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.
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.
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
Featured Diagnosing and Fixing Slow Chatbots with LangSmith and Zep Poor chatbot response times can result in frustrated users and churn. Langchain’s new LangSmith service makes it easy to diagnose the cause of latency in an LLM app. In this article, we use LangSmith to analyze a very slow Langchain app and improve performance by an order of magnitude using Zep.
Featured Session Metadata 👾, Custom OpenAI Endpoints 🔧, & Kubernetes Deployment 🔥 Zep now includes support for adding arbitrary metadata to Sessions and more deployment options
Improved Langchain Support! Langchain now includes improved support for Zep, with a new ZepMemory class, access to enriched messages, and more.
Featured Goodbye Web Forms, Hello Chat Messages A Guide to Using OpenAI Functions and Langchain to Extract Structured Data from LLM App Conversations
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.
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. 🔥
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 A Survey of Embedding Models (and why you should look beyond OpenAI) User experience can be severely impacted when AI chat apps and agents are slow to respond. Embedding model performance can contribute to this problem. Is OpenAI's embedding API always the best fit?
Featured Personalizing LLM Interactions: Harnessing Generative Feedback Loops LLM Applications can be personalized using Generative Feedback Loops through advanced memory & personalization.
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.
Featured LangchainJS Now Supports Zep! LangchainJS now supports Zep Memory and Retrievers, allowing developers to take advantage of Zep's long-term memory, auto-summarization, vector search, and named entity extraction.
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
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
