2025 is here. And Langchain is holding developers back.

Slow. Costly. Complex.

Building scalable AI apps shouldn’t be this hard.

Here’s a better alternative: 2x the value at half the cost.
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All in on prompting AI agents.

With Langbase, you can set 3 types of prompts to optimize AI agent performance:

- System prompts
- User prompts
- AI assistant prompts

Let's break it down 🧵

Turn any LLM—OpenAI, MetaAI, GoogleAI & more—into a scalable and serverless RAG system.

And chat with your document using memory agents.

In 4 simple steps, Build it!

Details 🧵

Last week in AI and agents was wild!

- v0 runs full-stack apps
- Google Gemini Memory
- FLUX.1 Tools
- Metadata support in Langbase Memory
- Anthropic now adds Google Docs
- GPT-4o creativity update
- Mistral’s le Chat update
- Agent Blocks in AutoGPT

🧵

Last week in AI and agents was wild!

- v0 runs full-stack apps
- Google Gemini Memory
- FLUX.1 Tools
- Metadata support in Langbase Memory
- Anthropic now adds Google Docs
- GPT-4o creativity update
- Mistral’s le Chat update
- Agent Blocks in AutoGPT

🧵

AI Memory Agents give AI tools context.

and Langbase AI Memory agent is a serverless RAG solution that adds private data to any LLM, providing more context.

Built with:
🔹 Vector storage
🔹 RAG
🔹 Semantic search
🔹 Smart chunking
🔹 Internet access

More 🧵

New to Bluesky - Let's see what the hype is about!

Let's connect if you're into Tech and AI 🦋