Maham Codes
@mahamcodes.bsky.social
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AI Content Developer > ex Hashnode > ex Rapid (RapidAPI)
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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10 months ago
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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 đź§µ
10 months ago
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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 🧵
10 months ago
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reposted by
Maham Codes
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 🧵
10 months ago
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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 🧵
10 months ago
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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 🧵
10 months ago
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New to Bluesky - Let's see what the hype is about! Let's connect if you're into Tech and AI 🦋
10 months ago
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