Zep by Example

The Zep SDK repos have several examples of using Zep's Document Vector Store and Memory Store, both directly with Zep's SDKs and via LangChain.

Zep Python

• End-to-end Document Vector Store example: Chunking a document, building a Collection, search, creating an index, and more.

Zep and TypeScript/JS

• End-to-end Document Vector Store example: Chunking a document, building a Collection, search, creating an index, and more.

Ecosystem: LlamaIndex and LangChain

• LangChain.js VectorStore examples: Chunking a document, building a Collection, and various search operations.
• Simple LangChain VectorStore example: Chunking a document, building a Collection, and search.
• Using the Zep VectorStore with a LangChain ConversationalRetrievalChain: As the title implies.
• Using LangChain's OpenAIEmbeddings to embed a document and pass the resulting vectors to the Zep VectorStore.
• LlamaIndex ZepVectorStore example usage