Langbase
Serverless AI platform for building and deploying LLM-powered features with Pipes, Memory, and edge inference at global scale.
Langbase is a serverless AI developer platform built for engineering teams that want to add LLM capabilities to their applications without managing infrastructure. The platform centers on three primitives: Pipes (managed LLM chains deployed as API endpoints), Memory (RAG-powered vector storage for grounding responses in proprietary data), and Datasets (structured collections for fine-tuning and evaluation). Developers connect via an OpenAI-compatible SDK and deploy LLM features to an edge network that delivers sub-100ms response times globally. Langbase supports every major model provider including OpenAI, Anthropic, Google, and Meta, enabling teams to switch models without refactoring application code. The platform is designed to let non-AI engineering teams ship production-grade LLM features in days rather than months.
Key Features
- Pipes: managed LLM chains deployable as serverless API endpoints
- Memory: built-in RAG with vector storage for document grounding
- Edge inference network for sub-100ms global response latency
- OpenAI-compatible SDK for easy migration from existing code
- Multi-provider model routing across OpenAI, Anthropic, Google, and Meta
- Prompt versioning and A/B testing built into the platform
Use Cases
- Shipping an AI chatbot grounded in company documentation without managing vector infra
- Deploying LLM-powered API endpoints at the edge for low-latency global responses
- Testing and switching between multiple LLM providers behind a single unified API
- Building RAG pipelines over private datasets without custom vector infrastructure
Pros
- Serverless model removes all LLM infrastructure provisioning and management burden
- Edge deployment delivers low latency for user bases spread across global regions
- Unified API abstracts multi-provider model switching without code changes
Cons
- Vendor lock-in risk as application logic couples tightly to Langbase primitives
- Less infrastructure control compared to self-hosted LLM serving solutions
- Smaller ecosystem and community compared to LangChain or LlamaIndex
Langbase Alternatives
Explore similar tools and alternatives
Looking for alternatives to Langbase? Here are some similar tools you might like:
LangSmith
LLM observability and evaluation platform by LangChain for tracing, testing, and monitoring production AI agents and chains with dataset-driven evaluation.
Portkey
AI gateway that routes requests across 200+ LLMs with automatic fallbacks, load balancing, caching, and observability - YC W23, free tier available.
OpenRouter
Unified API that routes requests to 300+ AI models from OpenAI, Anthropic, Google, and Meta - with automatic fallback, cost controls, and model comparison.
Langbase is also listed as an alternative to:
Ready to try Langbase?
Visit the official website to explore all features and get started with Langbase today.
Reviews
0 reviews for Langbase
Based on 0 reviews
Share your experience
Log in to write a review for Langbase
Ito
Only code review that runs your code. Provides runtime analysis with evidence (logs, video, screenshot) to show how code changes application actually work. Back-end, front-end, api, integration.
Cursor
AI-native code editor built on VS Code with built-in AI chat, autocomplete, and codebase understanding.
GitHub Copilot
AI pair programmer by GitHub/OpenAI that suggests code completions, functions, and entire files in your IDE.
Have an AI Tool?
List your AI tool for free, or go featured for top placement in your category - and reach thousands of potential users.
Submit Your Tool