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🎙️ Discover the Enterprise AI Advantage Podcast! Our debut episode reveals an AI-First HCM platform, popular with 3,000+ companies in Asia but underrecognized in the U.S. 🎧 Listen now: 🔗shows.acast.com/enterprise-a… #HCM #HRTech #AI #EnterpriseAI #DigitalTransformation #FutureOfWork
→ View original post on X — @andyjankowski, 2025-02-22 19:53 UTC
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MCP Adapters A lightweight wrapper that converts Model Context Protocol tools into LangChain-compatible tools, with multi-server support and React agent compatibility. Seamlessly integrates with LangChain Core and LangGraph. Check it out https://
github.com/langchain-ai/l
angchain-mcp-adapters
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I automated #ChatGPT with #DeepSeek and #Grok3 to create Apps… The result is I show you all that in my complete tutorial here → https://
youtu.be/PXTCChEtozo
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Unbelievable Replit Apps: Libscope LibScope helps you discover great libraries for your projects. By analyzing your project's specific requirements and context, LibScope provides tailored library recommendations.
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It is positioned as a solution for simple documents where simple text extraction is needed. They also offer Vectorize Iris, a vision model extractor which can be used for $15 / 1,000 pages within their RAG pipelines. Check out more details at
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3) Vectorize(.)io @Vectorizeio Vectorize is a RAG-as-a-Service platform which offers two extractors. Their Fast extractor is available at no additional cost when used with their RAG pipeline service.
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… more expensive at $45 / 1,000 pages. You can use Llama Parse as part of Llama Cloud pipelines or as a standalone API.
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2) LlamaParse @llama_index Llama Parse is from the makers of LlamaIndex and is included in their Llama Cloud service, Like Unstructured, Llama Parse has multiple options. Their lower cost offering starts at $3 / 1,000 pages while their Llama Parse premium is much…
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Unstructured has 3 extraction options in its cloud. Their Basic option is positioned for plain text documents at $2 / 1,000 pages, their Advanced $20 / 1,000 pages and their Platinum is $30 / 1,000 pages and can handle advanced cases like handwriting.
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1) Unstructured(.)io @UnstructuredIO Unstructured started out as a PDF library, which gained popularity thanks to its early integration with LangChain.