Gali AI vs Zep: Which is better?

Gali AI is the platform for creating your own ChatGPT chatbots, easily integrated into your website. The two most common use cases are: Growth: Generate more leads from your website with custom AI assistants. Trained on your data, they provide 24/7 responses and offer valuable insights from chat history. Customer Support: Answer frequently asked questions in real time, enhancing user experience and reserving human support for more complex inquiries. No coding is required, and setup takes just 10 minutes.

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Zep

Zep is an open-source platform that provides fast and scalable building blocks for LLM (Language, Learning, and Memory) applications. With Zep's components, users can easily transition from a prototype built in LangChain or LlamaIndex, or any custom app, to a production-ready application in minutes without the need for code rewriting.Zep offers a single platform for memory, search, and enrichment, focusing on privacy compliance. It allows users to implement vector search capabilities, enabling semantic search over chat histories and documents. Users can filter search results using metadata and utilize Zep's named entity extraction and intent analysis output. It provides comprehensive documentation and an open-source SDK that simplifies integration into LLM applications.Overall, Zep offers an intuitive and efficient solution for deploying LLM apps, with a focus on fast, scalable building blocks, privacy compliance, and seamless transition from prototype to production.

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Key features

Gali AI

Custom AI Assistants: Create personalized ChatGPT assistants trained on your data, capable of real-time responses and available 24/7.
No Coding Required: Quick setup process that allows users to create a chatbot in just 10 minutes without any coding skills.
Multilingual Support: Assistants can automatically respond in multiple languages supported by OpenAI.
Seamless Integration: Compatible with various platforms and offers complete integration with Zapier for enhanced functionality.
Chat Analytics: Provides insights from chat interactions to improve responses and monitor frequently asked questions.

Zep

Context Engineering: Zep assembles context from chat history, business data, and user behavior to build personalized agents that are fast and reliable.
Dynamic Graph RAG: Supports real-time updates and retrieval of dynamic business data, allowing agents to access current context without batch recomputation.
Automated Context Assembly: Automatically generates optimized context blocks for agents, integrating user memory and business data without manual input.
Customizable Entity Models: Allows users to define domain-specific entities and relationships, enhancing the precision of context retrieval for various business applications.
Enterprise-Grade Security: Offers SOC 2 Type II certification and HIPAA compliance, with flexible deployment options to meet security and operational requirements.

Useful for

Gali AI

Custom AI Assistants: Gali AI allows users to create personalized ChatGPT assistants trained on their specific data, enhancing the relevance and accuracy of responses.
24/7 Availability: The AI chatbots are always accessible, ensuring that customer inquiries are addressed at any time, which improves user experience and satisfaction.
No Coding Required: The platform offers a straightforward setup process that requires no programming skills, making it accessible for users of all technical backgrounds.
Integration with Tech Stack: Gali AI seamlessly integrates with tools like Zapier, allowing businesses to automate workflows and enhance operational efficiency.
Multilingual Support: The assistants can respond in multiple languages, broadening the reach and usability for diverse customer bases.

Zep

Zep assembles context from various data sources, enabling agents to provide personalized and accurate responses based on user history and business data.
The platform allows for real-time updates and retrieval of relevant context, ensuring agents have access to the most current information without latency issues.
Zep's context engineering capabilities improve agent performance by reducing hallucinations and enhancing response quality through systematic context management.
The integration process is simplified, requiring minimal code changes, which accelerates deployment and allows developers to focus on building features rather than managing context pipelines.
Zep supports customizable context blocks and entity types, allowing businesses to tailor the system to their specific needs and improve the precision of agent interactions.

Use cases

Gali AI

Lead Generation: Utilize Gali AI to engage potential customers on your website, answering common queries and converting visitors into leads without direct sales pressure.
Customer Support: Implement Gali AI to provide instant responses to customer inquiries, allowing human support teams to focus on more complex issues and improving overall customer satisfaction.
Internal Knowledge Sharing: Use Gali AI as an interactive internal wiki, enabling team members to access up-to-date information and documentation quickly, thus enhancing productivity.
API Integration: Integrate Gali AI APIs into your own products or services, allowing for custom GPT conversations tailored to specific business needs.
Chat Analytics: Leverage chat interaction data to gain insights into frequently asked questions and improve customer service and product offerings based on user interactions.

Zep

Personalized Customer Support: Automatically include customer history, previous issues, product usage, and preferences to provide tailored assistance without manual research.
Sales Assistance: Surface prospect interactions, product interests, and pricing discussions to help sales agents understand the complete customer journey and personalize outreach.
Dynamic Context Assembly: Automatically assemble relevant user memory and business data into optimized context blocks for agents, ensuring they have the right information for each interaction.
Real-Time Business Intelligence: Integrate and update business data in real-time, allowing agents to access current context without delays or batch processing.
Persistent Knowledge Management: Maintain a temporal knowledge graph that tracks changes over time, enabling agents to understand evolving user states and project requirements.

Price

Gali AI

Free Plan: Test it for free with 1 chatbot, 30 message credits/month, and a 30-day chat history.
Indie Plan: $19/month for 3 chatbots, 2,000 message credits/month, and a 90-day chat history.
Startup Plan: $99/month for 6 chatbots, 10,000 message credits/month, and a 365-day chat history.
ScaleUp Plan: $249/month for 10 chatbots, 25,000 message credits/month, and a 365-day chat history.
Yearly Plans: Indie at $190/year, Startup at $990/year, and ScaleUp at $2490/year, with similar features as monthly plans but at a discounted rate.

Zep

FLEX Plan: $125/month for 50,000 credits; additional $25 for every 10,000 credits after that.
FLEX PLUS Plan: $375/month for 200,000 credits; additional $75 for every 40,000 credits after that.
ENTERPRISE Plan: Custom pricing with negotiated rates, unlimited projects, and entity types; includes SOC 2 Type II & HIPAA compliance.
Free Plan: 1,000 credits per month with no rollover or auto-topup; limited to 2 projects and 5 custom entity types.
Credit Usage: 1 credit for episodes up to 350 bytes; additional credits for larger episodes based on size.