JerryMay 12, 2024#AI #LLM #RAGLLMSherpa: Rule-based PDF Parser•모델이 아닌 룰 기반의 PDF Parser•모델에 비해 정확하고, 빠른 Parsing이 가능•RAG에 특화된 Parser🔗 https://github.com/nlmatics/llmsherpa 🔗 https://github.com/nlmatics/nlm-ingestor 🔗 https://python.langchain.com/v0.1/docs/integrations/document_loaders/llmsherpa/ LLM Sherpa | 🦜️🔗 LangChainThis notebook covers how to use LLM Sherpa to load files of many types. LLM Sherpa supports different file formats including DOCX, PPTX, HTML, TXT, and XML.python.langchain.comGitHub - nlmatics/llmsherpa: Developer APIs to Accelerate LLM ProjectsDeveloper APIs to Accelerate LLM Projects. Contribute to nlmatics/llmsherpa development by creating an account on GitHub.github.comGitHub - nlmatics/nlm-ingestor: This repo provides the server side code for llmsherpa API to connect. It includes parsers for various file formats.This repo provides the server side code for llmsherpa API to connect. It includes parsers for various file formats. - nlmatics/nlm-ingestorgithub.com