Zep: Long-Term Memory for AI Assistants

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Recall, understand, and extract data from chat histories. Power personalized AI experiences.


What is Zep?

Zep is a long-term memory service designed specifically for AI assistant applications. It empowers AI assistants to recall past conversations, ensuring users always have access to their historical interactions without compromising performance or increasing costs.

How Zep Works

Imagine Zep as a meticulous librarian, diligently carving out memories from every piece of chatter. It does this by:

  • Persisting and recalling chat histories.
  • Automatically generating summaries and other artifacts from these histories.
  • Embedding messages and summaries for easy searching.
  • Ensuring all processes happen asynchronously, so the user experience remains seamless.

Just as our librarian would preserve books for easy access, Zep persists chat data into a database, allowing your applications to scale when needed. Additionally, Zep includes a Document Collections system that streamlines document vector search.

Benefits of Using Zep

By utilizing Zep, developers can:

  • Automatically include recent messages tailored to specific applications.
  • Summarize conversations that enhance comprehension and memory retrieval.
  • Map out contextually relevant summaries effortlessly.
  • Extract pertinent business data seamlessly.

Why Choose Zep for Long-Term Memory?

Some may wonder, “Why not just share the entire chat history in a prompt?” Including oversized histories can lead to:
– Poor recall
– Hallucinations
– Increased latency and costs.

Zep’s purpose is to simplify memory management. By not acting as a general-purpose vector database but rather focusing on assistant applications, it aids developers in building more effective infrastructures without layering on unnecessary complexity.

Zep Cloud Features

The Zep Cloud complements the core features of Zep Open Source with powerful functionalities, including:

  • Fact Extraction: Build tables from dialogue without a predefined schema.
  • Dialog Classification: Classify chat dynamically to discern user intent and emotions.
  • Structured Data Extraction: Efficiently retrieve critical business data from conversations.

Zep Language Support

Zep supports various languages, including both Python and TypeScript, making integration with assistant apps easy.

Getting Started with Zep

To kick off your journey, follow these simple steps:

  1. Install Zep Server:
    Follow the Quick Start Guide for setup instructions.
  2. Install SDK:
    Utilize the development guide linked to see beta information and instructions.

Sample commands for installation include:

bash
docker compose up
bash
pip install zep-python
bash
npm i @getzep/zep-js

Examples

Here’s a breakdown of sample code for creating users, sessions, and messages using the Zep Python SDK:

python
user_request = CreateUserRequest(
    user_id=user_id,
    email="user@example.com",
    first_name="Jane",
    last_name="Smith",
    metadata="foo: bar",
)
new_user = client.user.add(user_request)

session_id = uuid.uuid4().hex # A new session identifier
session = Session(
    session_id=session_id,
    user_id=user_id,
    metadata="foo: bar"
)
client.memory.add_session(session)

history = [{
    "role": "human",
    "content": "Who was Octavia Butler?"
}]
messages = [Message(role=m.role, content=m.content) for m in history]
memory = Memory(messages=messages)
client.memory.add_memory(session_id, memory)

sessions = client.user.getSessions(user_id)

Troubleshooting

If you encounter challenges during implementation:

  • Ensure your API keys are correctly set up.
  • Check the dependency compatibility, especially between Python and TypeScript SDKs.
  • Refer to logs for error messages that can guide you toward a fix.

For additional support, remember to visit the Zep Documentation. For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

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