Langbase is a serverless AI developer platform designed to create AI agents (called Pipes) that leverage any large language models (LLMs) among 600+ supported models, combined with memory and tools for contextual and accurate responses.

A Pipe is a customizable AI assistant layer that integrates LLMs, task-specific tools, and data to handle complex queries, workflows, and agent orchestration.

What is Memory in Langbase?

Memory is a retrieval-augmented generation (RAG) mechanism allowing agents to store, retrieve, and use relevant contextual data (like documents or customer info) dynamically to improve response accuracy.

What are the key features?

The key features include a serverless architecture requiring no infrastructure management; universal API access to over 600 LLMs, enabling use of models like OpenAI GPT and Gemini; integrated workflow orchestration with support for retries, timeouts, and multi-step agents; an AI Studio for real-time experimentation, collaboration, versioning, and cost optimization; and tools to parse documents, extract text, and integrate with external APIs for enhanced AI capabilities.

What are the primary use cases?

The primary use cases include customer support automation, such as ticket summarization, FAQ generation, documentation chatbots, product troubleshooting, and 24/7 assistance, as well as internal workflows and team collaboration through interfaces like Slack, Teams, or Discord.

How can developers get started with Langbase?

Developers can use Langbase SDKs (TypeScript, Python, Go, etc.), deploy pipes using CLI tools like BaseAI, and configure prompts (system, user, assistant) for precise agent behavior.

What are the security and collaboration features?

Langbase supports secure API key storage, role-based access (org, user, pipe level), and multi-user collaboration akin to GitHub for AI pipelines.

Langbase

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Langbase is a serverless platform where developers can easily build, deploy, and scale AI agents. It provides tools for adding memory and external capabilities, supports over 600 large language models, and simplifies AI development so you can focus on your product.

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Overview Features Use Cases FAQ Integrations

About Langbase

Who It's For

Langbase is for any developer, not just AI experts, who wants to quickly build and launch AI products. If your team needs to create smart AI agents without handling complex server setup, this platform offers an accessible and efficient solution for AI development.

What You Get

You get a serverless platform to create AI agents, called Pipes, that can remember information and use various tools. It provides one API for over 600 AI models, secure key storage, and smart cost predictions. Teams can collaborate on AI projects like GitHub, with built-in tools for testing, versioning, and optimizing AI performance.

How It Works

You build serverless AI agents, or Pipes. These combine large language models with a memory system (RAG) for your data and external tools. Since it's serverless, you don't manage any infrastructure. You can code with SDKs/CLI or use the AI Studio to experiment and collaborate easily. You can also customize ready-made open-source AI agents.

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Features & Capabilities

⚙️ Core AI Agent Development

Serverless AI Pipes

Composable and forkable serverless AI agents that integrate memory and self-healing tools for building AI applications.

Command.new Vibe Coding

An intuitive interface for 'vibe coding' and rapidly prototyping AI agents without complex setup.

AI Agent Tools & Function Calling

Enables AI agents to produce structured object output and call external functions for enhanced control and interaction.

API Deployment

Provides unique API keys and base URLs for deploying and integrating AI pipes into any application.

🧠 Memory & Data Management

Serverless RAG & Vector Storage

Provides cost-effective, serverless Retrieval-Augmented Generation (RAG), vector storage, and file/attribute management, significantly reducing AI hallucinations.

Managed RAG Search Engine

Offers a managed search engine API combined with long-term memory for comprehensive data acquisition, processing, retention, and retrieval.

Semantic Document Chunking

Provides managed, semantic document chunking to optimize data preparation for RAG, supporting various formats automatically.

Conversation Message Storage

Stores AI conversation messages for history, analysis, and ensuring continuity in user interactions.

🔗 LLM & API Orchestration

Unified LLM API

Offers a single, standard API to seamlessly switch between over 250 different LLMs from various providers.

Secure LLM Keysets

Securely stores LLM API keys with role-based access control at organizational, user, or pipe levels.

Model Presets

Provides configurable presets for various LLM models to streamline development and deployment processes.

JSON Output Mode

Forces AI model responses into a structured JSON format for easier programmatic integration and parsing.

🚀 Developer Productivity & Operations

Langbase Studio

A no-code/low-code environment for exploring serverless AI, running agents, modifying prompts, and real-time collaboration with full observability.

Comprehensive AI Analytics

Provides detailed feature-level analytics for understanding AI feature usage, performance, cost, and user insights.

Pipe Version Control

Tracks changes in Pipe configurations over time, allowing easy rollbacks and management of different AI agent versions.

AI Experimentation & Evals

Allows for human-in-the-loop evaluations and testing of LLM responses with different configurations and models to improve AI features.

Use Cases

Building AI-Powered Customer Support Chatbots

Companies struggle to provide efficient 24/7 customer support and manage high volumes of inquiries. Langbase allows developers to easily build and deploy custom AI agents and chatbots (Pipes, LangUI) that leverage Retrieval-Augmented Generation (RAG) to instantly access company documentation and FAQs, providing accurate, contextual responses and automating ticket summarization.

Customer Service, B2B SaaS, E-commerceFor: Customer Support Teams, Software Developers

Automating Internal Workflows with Custom AI Agents

Manual and repetitive tasks across departments like HR, Finance, and Legal hinder productivity and lead to inefficiencies. Langbase empowers "any developer" to create serverless AI agents (Pipes) that can automate tasks such as document analysis, PII anonymization, candidate shortlisting, and email classification, integrating with existing systems to streamline business operations and reduce human effort.

Enterprise, Financial Services, Human Resources, Legal, MarketingFor: Software Developers, IT Teams, Operations Managers

Accelerating AI Product Development and Deployment

Product teams need to quickly iterate, experiment, and deploy new AI features while managing costs and avoiding vendor lock-in. Langbase offers a serverless platform where developers can "vibe code" AI agents, access a unified API for 600+ LLMs, and utilize tools like AI Studio, versioning, and cost analytics to rapidly build, test, and scale innovative AI-powered applications with a focus on developer experience.

B2B SaaS, Technology, Software DevelopmentFor: Software Developers, AI/ML Engineers, Product Managers

Creating Intelligent Systems to Query and Leverage Enterprise Data

Organizations face challenges in extracting insights and providing accurate answers from vast, unstructured internal data like documents and financial reports. Langbase's Memory API and RAG capabilities enable developers to build AI agents that can deeply understand and interact with proprietary data, significantly reducing hallucinations and transforming static information into dynamic, queryable knowledge bases for enhanced decision-making.

Enterprise, Financial Services, Legal, ConsultingFor: Data Scientists, Business Analysts, Software Developers, Knowledge Managers

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