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PankajMicrosoft Open Sources MarkItDown: A Game-Changing Library for File-to-Text Conversion 🌐📊📚A powerful, open-source tool that simplifies file processing and automates content extraction across PDFs, Word docs, images, audio and…Dec 21, 202411Dec 21, 202411
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InIntel TechbyIntelImprove your Tabular Data Ingestion for RAG with RerankingBoost your RAG system’s accuracy by adding a reranker to select the most relevant context chunks.Jul 16, 20242Jul 16, 20242
InIntel TechbyIntelTabular Data, RAG, & LLMs: Improve Results Through Data Table PromptingHow to ingest small tabular data when working with LLMs.May 14, 20246May 14, 20246
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Júlio AlmeidaHow Companies Use LLMs to Process 4,000 CVs for $1 | ExtractThinkerAutomate CV screening with ExtractThinker: Efficiently process 4,000 resumes for $1 using LLMs, reducing recruiter workloadMay 27, 20244May 27, 20244
InAIGuysbyVishal RajputRAG 2.0: Retrieval Augmented Language ModelsRAG 2.0 shows the true capabilities of Retrieval Systems and LLMsApr 16, 202413Apr 16, 202413
InAIGuysbyVishal RajputSolving Production Issues In Modern RAG Systems-IISolving Production & Scaling Issues In RAG. Complex Table and PDF parsing. RAG Future: AI Agents?Apr 8, 20241Apr 8, 20241
InTDS ArchivebyDominik Polzer17 (Advanced) RAG Techniques to Turn Your LLM App Prototype into a Production-Ready SolutionA collection of RAG techniques to help you develop your RAG app into something robust that will lastJun 26, 202430Jun 26, 202430
InfiniFlowLLM’s ability to find needles in a haystack signifies the death of RAG?Since February 24th, there have been significant news in the field of AI. We were a bit behind in addressing these pieces of AI news, as we…Apr 6, 2024Apr 6, 2024
InAIGuysbyVishal RajputSolving Production Issues In Modern RAG SystemsSolving Issues in Modern RAG Production PipelineApr 1, 20244Apr 1, 20244
