Langbase
Langbase is a serverless AI developer platform to build, collaborate, and deploy AI agents and applications at scale.
Last verified:
What is Langbase?
Langbase is a serverless AI developer platform that enables developers to build, deploy, and scale AI agents without managing infrastructure. The platform provides simple AI primitives including Pipe (serverless AI agents), Memory (RAG-based long-term memory), Tools (web search and crawling), Threads (conversation history storage), Workflow (multi-step agent orchestration), Parser (document text extraction), Chunker (semantic text splitting), and Embed (vector embeddings). Langbase offers a unified API over 600+ LLMs, allowing developers to switch between models with one line of code.
Key features include serverless RAG with vector storage and file management, semantic document chunking, agentic RAG routing, near-zero hallucinations through accuracy-engineered retrieval, AI Studio for collaboration and experimentation, comprehensive tracing and observability, pipe version control, secure LLM key storage with role-based access control, and cost prediction analytics. The platform supports both TypeScript SDK and HTTP API for any programming language.
Langbase is designed for any developer, not just AI/ML experts—from indie developers and early-stage startups to growing enterprises. It's ideal for building AI-powered customer support chatbots, automating internal workflows, accelerating AI product development, and creating intelligent systems to query enterprise data. The platform has helped over 100k developers from 5,000+ companies build production-ready AI agents without managing containers.
Langbase pricing
Pricing model: Free
Langbase offers four pricing plans: Free ($0/month) includes 500 Langbase Credits, 5 Public Pipes, 0 Private Pipes, 500 Agent Runs, 5 MB Memory, 2 Memory Files, Community support, and access to Threads, Parser, and tools. Individual ($100/month) includes 20K Credits, Unlimited Public Pipes, 10 Private Pipes, Unlimited Runs, 20 MB Memory, 20 Memory Files, 1 Week Logs Retention, and Unlimited Memory Retrieval. Growth ($250/month) includes 75K Credits, Unlimited Public Pipes, 30 Private Pipes, Unlimited Runs, 50 MB Memory, 50 Memory Files, 1 Week Logs Retention, and 5 Org Seats at $30/seat. Custom plan offers Unlimited Pipes, Unlimited Runs, Unlimited RAG Memory, High-Performance RAG, usage discounts, Unlimited vector storage, Unlimited logs retention, Dedicated FDE Engineers, Account Analytics/Evals, SAML/SSO, Enterprise Context Engine, RBAC & Access Controls, Advanced rate limiting, and SOC 2/HIPAA/GDPR compliance.
Langbase pros
- Serverless deployment with no infrastructure management required
- Unified API supporting 600+ LLMs from multiple providers
- Built-in RAG memory with vector storage and semantic retrieval
- Near-zero hallucinations through accuracy-engineered retrieval
- AI Studio for real-time collaboration like GitHub for AI
- Complete tracing and observability for all agent actions
- Pipe version control with rollback capabilities
- Secure LLM API key storage with role-based access control
- Cost prediction and usage analytics at feature level
- No frameworks needed—simple AI primitives only
- Pre-built Tools including web search and crawler
- Semantic document chunking for optimized RAG
- Supports both SDK and HTTP API for any language
- Free tier available for getting started
- 100+ open-source AI pipes available to fork
- Deploy agents and apps in one click
- Infinite scalability with serverless API
- Threads primitive for conversation history without managing databases
- Workflow primitive with durable steps, retries, and timeouts
- Parser supports PDF, CSV, Excel, Markdown, and code files
Langbase cons
- Less control compared to self-hosted frameworks
- Vendor lock-in for Pipe configurations
- Limited to platform's execution model
- Advanced customization reserved for paid plans
- Initial learning curve for beginners
- Some gaps in specific native integrations
- Quality can be variable depending on use cases
- Complex multi-agent patterns may outgrow Pipe model
- Limited workflow branching compared to dedicated orchestrators
- Memory file size limited to 10MB maximum
Frequently asked questions about Langbase
What is Langbase?
Langbase is the most powerful serverless platform for building composable AI agents. It enables developers to build, deploy, and scale serverless AI agents with tools and memory (RAG) using simple AI primitives without bloated frameworks. The platform offers a unified API over 600+ LLMs and provides world-class developer experience.
What is a Pipe in Langbase?
Pipes are serverless AI agents that serve as the standard way to build AI applications with tools and memory. They are composable and forkable, integrating memory and self-healing tools. Every Pipe comes with multiple ready-to-use examples like Few Shot Prompting and Prompt Builder to quickly get started without much assistance.
What is Memory in Langbase?
Memory is an AI primitive that allows you to store, organize, and retrieve information for building powerful Retrieval Augmented Generation (RAG) based AI agents. It provides serverless RAG search engine with vector storage, semantic understanding beyond keyword matching, intelligent reranking, and agentic routing. Memory can process 700+ TB of vector memory and gives agents human-like long-term memory.
What is RAG and where is it used?
Retrieval Augmented Generation (RAG) is an AI approach that combines a large language model (LLM) with your data (Memory) to provide more accurate and relevant responses. RAG is used because LLMs can't store information directly—they have limited context windows and querying them directly can be expensive and slow. In RAG, only relevant pieces of information are retrieved from Memory and passed to the LLM for generating responses.
What file formats are supported for importing data into Memory?
Langbase Memory supports .txt, .md, .csv, .pdf, .xlsx, .xls, and all major programming language files (.js, .py, .java, etc.). The maximum file size that can be imported is 10MB. For unsupported formats, you can convert your data to a supported format before importing.
Can I attach multiple Memory Sets to a single Pipe?
Yes, you can attach multiple Memory Sets to a single Pipe. This allows you to organize different types of data and retrieve from multiple memory sources when your agent processes queries.
What is the unified LLM API in Langbase?
The unified LLM API provides one standard API to seamlessly switch between 600+ LLMs from various providers. You can switch between providers and models with just one line of code. The API supports HTTP requests from any language or via the official Node.js Langbase SDK.
What are Tools in Langbase?
Tools is an AI primitive that allows you to extend AI application capabilities by integrating functionality such as web search, crawling, and other specialized tasks into AI workflows. Langbase provides pre-built and hosted tools including web crawler and web search with Exa, which agents can call for enhanced control and interaction.
What is Langbase Studio?
Langbase Studio is a no-code/low-code playground environment to build, collaborate, and deploy AI agents. You can experiment with agent changes and memory retrieval in real-time using real data, store messages, version prompts, optimize cost, see usage and traces. It enables team collaboration like GitHub for AI engineering, allowing you to invite all team members including R&D, engineering, product, and GTM teams.
Is Langbase free to get started?
Yes, Langbase is free for anyone to get started with the Free plan that includes 500 Langbase Credits, 500 Agent Runs, 5 MB Memory, and access to Threads, Parser, and tools. The platform processes billions of AI agent runs every month and is used by thousands of developers from over 5,000 companies.