⌘ Langbase – Composable AI developer platform
⌘ Langbase – Composable AI developer platform
Deploy serverless composable AI agents in mins, not months Pipe: Use any LLMs with your data, get auto-scalable AI Memory: Managed search engine API with RAG tools
Companies of all sizes trust ⌘ Langbase to ship composable AI products and features.
Remarkable developer experience with zero-config. The only composable AI infrastructure. It's all we do.
The Developer Friendly Future of AI Infra
Obsessed with Developer Experience
This contract outlines the terms and conditions. Please review carefully before signing. If you have any questions, contact our legal team.
This spreadsheet contains financial projections. Ensure all data is accurate and up-to-date. Review monthly to track progress and adjust forecasts.
Welcome to the quick start guide. Follow these steps to get started quickly. Refer to the detailed manual for more advanced instructions.
These are the terms and conditions of our service. By using our service, you agree to these terms. Violation of these terms may result in termination of your account.
Frequently Asked Questions: Find answers to common questions here. Contact support for further assistance. Visit our website for more detailed information.
This contract outlines the terms and conditions. Please review carefully before signing. If you have any questions, contact our legal team.
This spreadsheet contains financial projections. Ensure all data is accurate and up-to-date. Review monthly to track progress and adjust forecasts.
Welcome to the quick start guide. Follow these steps to get started quickly. Refer to the detailed manual for more advanced instructions.
These are the terms and conditions of our service. By using our service, you agree to these terms. Violation of these terms may result in termination of your account.
Frequently Asked Questions: Find answers to common questions here. Contact support for further assistance. Visit our website for more detailed information.
This contract outlines the terms and conditions. Please review carefully before signing. If you have any questions, contact our legal team.
This spreadsheet contains financial projections. Ensure all data is accurate and up-to-date. Review monthly to track progress and adjust forecasts.
Welcome to the quick start guide. Follow these steps to get started quickly. Refer to the detailed manual for more advanced instructions.
These are the terms and conditions of our service. By using our service, you agree to these terms. Violation of these terms may result in termination of your account.
Frequently Asked Questions: Find answers to common questions here. Contact support for further assistance. Visit our website for more detailed information.
This contract outlines the terms and conditions. Please review carefully before signing. If you have any questions, contact our legal team.
This spreadsheet contains financial projections. Ensure all data is accurate and up-to-date. Review monthly to track progress and adjust forecasts.
Welcome to the quick start guide. Follow these steps to get started quickly. Refer to the detailed manual for more advanced instructions.
These are the terms and conditions of our service. By using our service, you agree to these terms. Violation of these terms may result in termination of your account.
Frequently Asked Questions: Find answers to common questions here. Contact support for further assistance. Visit our website for more detailed information.
Memorysets
Fix hallucinations with your data. Extend any LLM's context by 10M+ tokens.
Build with "any LLM" – Unified Dev Experience
Support for 50+ LLMs OpenAI, Anthropic, Google, Mistral, Llama, Together, Fireworks — any LLM with a standard API design.
PIPE: Prompt Instructions Personalization Engine
Pipes are AI agents with RAG. Pipes are composable, forkable — like Docker containers or React components for AI, with built-in infra. Build your product, not ever-changing RAG pipelines.
Built for "Any Developer"
⌘ Langbase is built for developers, not just AI/ML experts. Your current R&D team can do it. 10x innovation time-to-market.
AA
MaedahCollaborate
Collaborate on AI like GitHub. Your team or dev community. Open pipes = truly "Open" AI.
Langbase Pipe
Ship AI Products
Composable AI your customers can personalize. No one-size-fits-all bots.
Memory
Zero-config infra for semantic RAG with industry leading accuracy in retrieval, augmentation, and semantic chunking.
employee-handbook.pdf
finances.xlsx
documentation.md
RAG - Your Data & Internet Access
Pipes x Memory. A managed search engine as an API for developers. Our long-term memory solution has the ability to acquire, process, retain, and later retrive information.
Keysets
Securely store any LLM keys. RBAC controlled keysets Org, User, or Pipe level access.
Smart Costs Predictions
Customers saw 60-90% LLM cost savings. LLMOps: run logs & pipeline traces.
Making AI accessible to everyone
⌘ Langbase Studio
The composable approach to AI. API-first, real-time collab, zero-config observability. From devs to CxOs, everyone's in the loop. It's about shipping AI products that matter, quickly. From weekend hack to unicorn-ready.
Analytics
Gain valuable insights into your AI features and apps performance with comprehensive feature-level analytics. Understand how your AI features are being used, how they're performing, and how they can be improved, and how much it costs to run them with different LLMs. See who are your top users, and auto-cluster insights with our AI-powered clustering widgets.
Memory
Memory is a managed search engine as an API for developers. Our long-term memory solution has the ability to acquire, process, retain, and later retrive information. It combines vector storage, RAG (Retrieval-Augmented Generation), and internet access to help you build powerful AI features and products.
RAG Test
Similarity test without using LLMs so you can test data quality. Retrieval testing is a way to test which parts of the document will be retrieved and passed on to LLM for a given prompt. It helps in debugging the document chunking parameters for your use case. If the retrieval testing is not showing the expected results, you can adjust the chunking parameters and re-run the retrieval test.
Chunking
Managed semantic document chunking so you can focus on building your AI agents instead of wasting time understanding 800 different formats and their chunking strategy. Before embedding the document, it is split into chunks and each chunk is then embedded. The chunking parameters can be adjusted to control the number of chunks generated from the document. The chunking parameters are: 1. Chunk Max Length: The maximum number of characters per chunk. The chunk size can range from 1024 to 30000 characters. We recommend a small chunk size so vector representation can capture distinctive information in each piece. 2. Chunks Overlap: The number of characters by which the chunks overlap. The minimum overlap is 256 characters. It helps in tracking chunk boundaries and managing document flow.
Experiments
Experiments are evals with human-in-the-looop. Test real LLM responses from your users with custom configurations, new LLMs, and improve your AI features. Understand how a new Pipe version will affect LLM response by running it against your previous five generate requests. Experiments contains a Previous Completions column that are results of your past five runs.When you run the Experiments, Pipe executes the most recent Pipe configuration against the last generate request prompts and shows the outcomes in the New Completions column.
Open Pipes
Just like a GitHub repo can be open-source, a Langbase pipe can become an open-pipe. Zero inference cost via global semantic CDN caching. Collaborate on AI like GitHub with your team or developer community. Open pipes are truly "Open" AI. Both user or org Pipes can be made public, enabling you to share them with anyone.
Testimonials
What developers and founders are saying about Langbase
“Langbase accelerated our product roadmap by at least nine months. It enabled us to scale our AI development in ways that wouldn't have been possible otherwise. With the ability to scale our AI development, iterate rapidly and maintain full observability over composable AI infra. It enabled us to build a comprehensive AI platform for product management in just a few weeks.”
“Langbase is transforming the AI market. Easy to use, handy integrations, and composable infra. What else could we ask for.”
“Langbase lets us manage all our LLM-related infrastructure in one place, quick-iteration, actionable analytics, version controlled prompts, and rapid testing of different LLM models. Read more in FQ's customer story.”
“🚀 Excited to see @Langbase launch! Langbase is transforming AI development with composable infrastructure, making it easy for any developer to build, collaborate, and deploy AI apps. Think Docker containers, but for AI agents! Proud to have supported them from the beginning.”
“Really impressed with Langbase (we use at Ignition) - it's one of the most "need to have" tools i've seen in the past decade … AI is moving so quickly so a composable infra to mix/match/test/deploy new models as they are released is the fastest way for an org to stay on the bleeding edge without without vendor lock-in … seeing how excited my team has been using Langbase. Langbase is simplifying the complexity of it all.”
“Langbase AI dev experience is powerful and unique, truly designed to meet the needs of developers building and operating LLM apps.”
“Langbase is unique for its composable AI infrastructure that just works. Makes AI dev dead simple for everyone, not just the ML experts. I believe an AI Pipe is the easiest way to build AI features you can actually use. Build, ship, and innovate with zero-config, making ship happen.”
“Excellent launch: Just added to the AI Development Tools list.”
“I had an opportunity to take an early look at ⌘ Langbase is doing is groundbreaking to help leverage AI for typical AI skeptics and newcomers like myself. I'm excited to work with this more to build AI-powered projects and scale them!”
“If you're a developer and you're working in AI, you should be using ⌘ Langbase — composable, zero-config AI infrastructure so you can focus on your product and business rather than all the plumbing. Great work Ahmad and team”
“LLM's are redefining the meaning of an application andLangbase is the Vercel of AI that supercharges every developer & company's efforts in building for this new wave.”
“Great developer tools … Langbase is shipping the LLMOps infrastructure and pipelines that developers love to use. It removes repetitive, high-friction, infra work freeing you to focus leveraging the best models to build use cases that matter. With AI pipes, developers can adopt and iterate on AI features at high velocity.”
“No one does it like Ahmad. Been playing with Langbase recently and if you want to get cooking with AI, this is it.”
“This is going to be huge 🚀 will enable such cool features on Caley!”
“Ahmad is uniquely positioned to dramatically improve the AI developer experience. He has done exactly that with Langbase, building on his deep expertise creating products for developers”
“We built our own RAG pipeline with Langbase for SiteGPT. Why? Control and accuracy. Each step from query to answer is now a Langbase pipe. This means granular testing, precise cost measurement, and easier optimization. Want to add or tweak a step? Langbase'scomposability makes it simple. It's not just about better answers—it's about building a system we can evolve.”
“Got an early look, ⌘ Langbase is shipping groundbreaking tooling to leverage AI for typical AI skeptics and newcomers like myself. I'm excited to work with this more to build AI-powered projects and scale them!”
“pay attention to what ⌘ Langbase is building, it's gonna be a game changer!”
“Really impressive launch of composable AI infrastructure by Langbase! Now making it easy for developers to build complex applications in a more modular and scalablemanner leveraging multiple LLMs for task specific goals. Proud to be an early supporter of Ahmad on his founder journey.”
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AI solutions for you
- AI messages tokens (31B+/mo)
- 97 Billion
- API Requests (50M+/mo)
- 316 Million
- Thousands of developers
- 23K Devs