What will you s(h)ip. 🛸
Prompt. Sip. Ship. ☕
What will you s(h)ip. 🛸
Prompt. Sip. Ship. ☕
Reference memory agent architecture
↳ langbase.com/docs/exampl...
Quickstart with API or AI Studio
↳ langbase.com/docs/memory...
(7/7)
Reference memory agent architecture
↳ langbase.com/docs/exampl...
Quickstart with API or AI Studio
↳ langbase.com/docs/memory...
(7/7)
(6/7)
(6/7)
↳ langbase.com/docs/memory
(5/7)
↳ langbase.com/docs/memory
(5/7)
1. Upload your data
2. Ask questions
3. Get relevant chunks
4. Use any LLM with Memory agents
We do it all. We got a vector DB in it 30-50x cheaper than the competition. Managed RAG has never been this easy.
(4/7)
1. Upload your data
2. Ask questions
3. Get relevant chunks
4. Use any LLM with Memory agents
We do it all. We got a vector DB in it 30-50x cheaper than the competition. Managed RAG has never been this easy.
(4/7)
(3/7)
(3/7)
LLMs don't know much about your business or are stuck in the past.
(2/7)
LLMs don't know much about your business or are stuck in the past.
(2/7)
LLMs do NOT have memory. Langbase Memory agents fix that.
You can build, deploy, and scale — millions of memory agents with terabytes of data, and I want to make sure y'all know how they work.
🧵 (1/7)
LLMs do NOT have memory. Langbase Memory agents fix that.
You can build, deploy, and scale — millions of memory agents with terabytes of data, and I want to make sure y'all know how they work.
🧵 (1/7)
🧠 Memory Agents
🧩 AI Agents (Pipes)
🖥️ AI Studio — Collab with all
🎨 LangUI — Open Source UI
😎 BaseAI — Agentic Framework
Everything developers need:
↳ API, SDK, framework, Studio!
🧠 Memory Agents
🧩 AI Agents (Pipes)
🖥️ AI Studio — Collab with all
🎨 LangUI — Open Source UI
😎 BaseAI — Agentic Framework
Everything developers need:
↳ API, SDK, framework, Studio!
Grab $50 in free Langbase credits plus a curated bundle of top-tier AI dev tools—the ultimate AI Engineer Pack.
Launch serverless AI agents now—scale to millions in a weekend.
All yours, but act fast — limited supply!
Grab $50 in free Langbase credits plus a curated bundle of top-tier AI dev tools—the ultimate AI Engineer Pack.
Launch serverless AI agents now—scale to millions in a weekend.
All yours, but act fast — limited supply!
OpenAI o1 as an API is live on Langbase. Let's go! 👊
o1 with API brings all the fun tooling
🔹 Tool calling
🔹 Vision support
🔹 Structured outputs.
Here is why it is a big deal 👇
OpenAI o1 as an API is live on Langbase. Let's go! 👊
o1 with API brings all the fun tooling
🔹 Tool calling
🔹 Vision support
🔹 Structured outputs.
Here is why it is a big deal 👇
Flexibility takes center stage, with most preferring adaptable tools over prebuilt options.
85% prefer primitives for custom workflows, while 65% value prebuilt solutions, reflecting a growing shift toward primitives.
Flexibility takes center stage, with most preferring adaptable tools over prebuilt options.
85% prefer primitives for custom workflows, while 65% value prebuilt solutions, reflecting a growing shift toward primitives.
In addition to RAG, there’s a growing emphasis on sophisticated multi-agent systems and reliable evaluation frameworks.
Evaluation tools (75%) and multi-agent workflows (68%) are key, with advanced RAG capabilities (82%) in high demand.
In addition to RAG, there’s a growing emphasis on sophisticated multi-agent systems and reliable evaluation frameworks.
Evaluation tools (75%) and multi-agent workflows (68%) are key, with advanced RAG capabilities (82%) in high demand.
Development remains the top use case, but operational and creative applications are on the rise.
Accuracy leads at 45%, followed by security (24%) and customizability (21%), with cost trailing at 10%, showing its lesser importance.
Development remains the top use case, but operational and creative applications are on the rise.
Accuracy leads at 45%, followed by security (24%) and customizability (21%), with cost trailing at 10%, showing its lesser importance.
While @OpenAI models are most used, @GoogleAI Gemini models are quickly taking the lead. Anthropic and Meta (Llama) follow closely.
• @OpenAI - 76%
• @GoogleAI - 59%
• @AnthrpicAI - 47%
• @MetaAI - 38%
• @MistralAI - 11%
• @Cohere - 4%
While @OpenAI models are most used, @GoogleAI Gemini models are quickly taking the lead. Anthropic and Meta (Llama) follow closely.
• @OpenAI - 76%
• @GoogleAI - 59%
• @AnthrpicAI - 47%
• @MetaAI - 38%
• @MistralAI - 11%
• @Cohere - 4%
After handling an incredible 184 billion tokens and 786 million API reqs from 36K developers, we’ve gathered invaluable insights from 4K builders, the next-gen of AI agents.
Super excited to share the latest trends shaping AI agents
After handling an incredible 184 billion tokens and 786 million API reqs from 36K developers, we’ve gathered invaluable insights from 4K builders, the next-gen of AI agents.
Super excited to share the latest trends shaping AI agents
Honored to be recognized by @github.com alongside some of the most notable developers for my open-source contributions.
Thank you to everyone who’s supported my journey!
Honored to be recognized by @github.com alongside some of the most notable developers for my open-source contributions.
Thank you to everyone who’s supported my journey!
What are y’all building nowadays?
What are y’all building nowadays?