What are Langbase Pipes?

Pipes are serverless, auto-scalable AI agents. They act as the core building blocks where you define your LLM, prompts, and tools, exposing them as a single API endpoint.

Does Langbase include model costs?

Langbase credits cover the platform infrastructure. For most plans, you connect your own API keys for providers like OpenAI or Anthropic, and they bill you separately for token usage.

What is 'Memory' in Langbase?

Memory is a managed RAG-as-an-API service. It handles document parsing, semantic chunking, vector storage, and retrieval, allowing your AI agents to access private data.

Which LLMs does Langbase support?

Langbase supports over 600 models, including GPT-4, Claude 3.5, Gemini 1.5, Llama 3, and Mistral, through a unified integration layer.

Is there an SDK available?

Yes, Langbase provides an official Node.js SDK, though the platform is API-first and can be used with HTTP requests from any programming language.

Can I use Langbase for enterprise applications?

Yes, the Custom plan offers enterprise-grade features like SSO, RBAC, high-performance RAG, and compliance certifications like SOC 2 and HIPAA.

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Large Language Models

Freemium

Langbase

A serverless AI platform to build, deploy, and scale composable AI agents using 600+ LLMs, managed RAG memory, and unified APIs for rapid application development.

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Rating

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4 months ago

Listed

AI Agents

LLMOps

Serverless AI

RAG

Developer Tools

Vector Storage

API

Machine Learning

No-Code AI

Tool information

Provider

Langbase

Platforms

Web

MacOS

Windows

Linux

Languages

English

Spanish

French

German

Chinese

Japanese

Multilingual (140+ via supported LLMs)

API Available

Yes

Added to directory

4 months ago

Last updated

3 months ago

Rating

Not available

Pricing

Freemium

About Langbase

What the tool does and who it's for

Langbase is a serverless AI developer platform designed to build, deploy, and scale composable AI agents and applications. It simplifies the AI development lifecycle by providing 'Pipes' for LLM orchestration and 'Memory' for managed RAG (Retrieval-Augmented Generation). Developers can integrate over 600+ large language models from providers like OpenAI, Anthropic, and Google using a unified API. The platform features a no-code/low-code Studio for experimentation, version control for AI configurations, and built-in observability to monitor performance and costs without managing complex infrastructure.

Key capabilities

AI Pipes: Serverless, composable, and forkable AI agents that integrate memory and tools.

Managed RAG (Memory): All-in-one semantic search engine API with vector storage and document chunking.

Unified LLM API: Access 600+ models from OpenAI, Anthropic, Google, and more with a single interface.

Langbase Studio: No-code environment for prompt engineering, debugging, and real-time collaboration.

Observability & Analytics: Comprehensive tracking of AI feature usage, latency, and costs.

Vibe Coding: Rapid prototyping interface for building AI agents without complex setup.

Version Control: Built-in tracking and rollback capabilities for AI pipe configurations.

Multi-Agent Collaboration: Supports complex workflows where multiple agents interact and solve tasks.

Pricing

Freemium — plans below

Free

$0/mo

500 Langbase Credits
5 Public Pipes
0 Private Pipes
500 Agent Runs
5 MB Memory
Community support

Individual

Growth

$250/mo

75K Langbase Credits
Unlimited Public Pipes
30 Private Pipes
Unlimited Runs
50 MB Memory
5 Org Seats included

Custom

Contact sales

Unlimited Pipes & Runs
Unlimited RAG Memory
Enterprise Context Engine
SAML/SSO & RBAC
Dedicated Support
SOC 2, HIPAA & GDPR compliance

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