Lyzr vs Langchain
Lyzr is an enterprise agent framework for building ‘private and secure’ AI agents faster. With Lyzr’s low-code platform, builders follow an ‘agentic’ approach to developing LLM applications. Lyzr’s fully integrated agents come with pre-built state-of-the-art RAG pipelines. Lyzr’s workflow automation comes with a proven architecture for building multi-agent workflows.
See Lyzr in action
A low-code agent framework.
Lyzr is a low-code agent framework that follows an ‘agentic’ way to build LLM apps. Lyzr’s pre-built agents and multi-agent workflows are available as locally deployable SDKs. Lyzr helps you configure and launch enterprise-grade LLM apps in minutes and Lyzr AIMS platform helps in agent performance and security monitoring.
A language-model integration framework.
LangChain is a framework designed for the creation of applications using LLMs. The framework’s core components include functions and chains that enable developers to build LLM applications. Langchain offers a comprehensive library of functions supported by an open-source community.
Feature Comparison
- Business
- Technical
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| What is? | Lyzr is a low-code agent framework with an ‘agentic’ approach to building generative AI applications. Its fully integrated agents come with pre-built RAG pipelines, allowing you to build and launch in minutes. | LangChain is a framework designed for the creation of applications using LLMs. The framework's core components include chains and links that enable developers to build LLM applications. |
| Development Approach | Agentic approach with low-code agent framework | Functions and Chains approach to building applications |
| Deployment | Locally deployable agent SDKs | Locally Deployable code |
| Where does data reside? | Data remains in customer’s cloud environment | Data remains in customer’s cloud environment |
| Future Expansion | Lyzr Agents integrate seamlessly into Lyzr’s Multi-Agent Automation Platform for seamless expansion to complex workflows in the future. | Langchain framework helps in development of LLM applications and hence allows scope expansion. |
| 24*7 Enterprise support |
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Community Support |
| Simple to build and launch |
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| Documentation |
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| SLA for upgrades | 24 hours | Typically 1 week |
| LLM Choices | 200+ LLMs | LLM integration through libraries like LiteLLM |
| Pricing | Flat - $399 per month. No throttling. No usage-based pricing. | Open Source. But the APIs are charged per user. |
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| Technology choices | Integrates with all leading vector databases, embedding models and runs on any cloud | Integrates with all leading vector databases, embedding models and runs on any cloud |
| Open Source Ui |
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| SOTA RAG Architecture | Yes. Blog post here. |
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| AI Management | Lyzr AIMS for comprehensive AI Agents management with Agent SDK analytics | Langchain LangSmith for LLM observability |
| Agent Integrations | Lyzr Chat Agent can cross-integrate with other Lyzr agents like RAG, Data Analysis, Search and Lyzr Automata (workflow automation). | No native integration. New functions and programs are required to integrate new functionalities. |
| Customizations | 600+ RAG pipeline configurations to customize the chat agent as per the customer’s need. | All customizations are manual. No out-of-the-box pre-built pipelines are available. |
| Partners Network |
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| AWS Partnership |
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| AWS Funding for Deployment | Yes. Between $10,000 to $75,000. |
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| Free POC Development | Yes. In 48 hours |
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| Pricing | Flat - $399 per month. No throttling. No usage-based pricing. | Open Source. But the APIs are charged per user. |
What Sets Us Apart
Enterprises and Startups building on Lyzr
