Langbase

About Langbase

Launched Sep 14, 2024

Description

Langbase is the most powerful serverless platform for building AI products. It helps developers ship composable serverless AI agents with memory.

⌘ Langbase – Composable AI developer platform Ship AI features in mins, not months. Deploy AI agents with Pipe: Hook any LLM to any data, hyper-personalized API Memory: Managed search engine API with RAG tools Langbase is the composable AI infrastructure and developer experience to build, collaborate, and deploy any AI agents (AI features). Our infra is serverless, pay-as-you-go, and processing billions of tokens/messages every day. Our mission is to make AI accessible to everyone, any developer not just AI/ML experts. We are the only composable AI infrastructure. That's all we do. 1. Start by building AI agent pipes 2. Then, create managed semantic memory

Langbase Key Features

Composable AI,
Serverless AI agents,
Managed RAG Engine,
Collaborative GitHub like Studio,
Smart cost prediction and LLMOps
Obsessed with Developer Experience,
Build with any LLM with the same API(support for 100+ LLMs)

Langbase Use Cases

AI agent development and serverless deployment from day one,
Customer Support, Docs, and GTM Marketing AI automation,
Multi-agentic complex problem-solving with business logic,
Personalized content creation and curation,
Automated customer support systems,
AI agents in Legal Finance Education,
AI analysis agents for Healthcare,
AI for News and Media,
AI in Administration

Pros

Serverless platform allows for easy scalability and reduced management overhead.
Pay-as-you-go pricing model provides flexibility and cost efficiency.
Fast deployment of AI features, facilitating quicker time-to-market.
Composable infrastructure allows developers to hook any language model to various data sources.
Managed search engine API with RAG tools simplifies memory handling.
Aims to democratize AI development, making it accessible to non-expert developers.
Handles a high volume of processing, indicating robust infrastructure.

Cons

May have a steep learning curve for developers unfamiliar with AI/ML technologies.
As a relatively new platform, community support and third-party resources may be limited.
Serverless model may impose limitations on long-running processes or require adjustments for certain applications.