Implementing a local RAG pipeline that processes PDFs and lets users query information from these documents using LLMs.
A barebones RAG implementation for kubernetes, including a local LLM deployment and vector database.
CDoc lets you chat with your documents using local LLMs, combining Ollama, ChromaDB, and LangChai...
Example of Ollama extended with Gradio & Streamlit UI examples
Answer questions against collections stored in LLM using Retrieval Augmented Generation
ChatPDF Implement PDF parsing based on LangChain and LLM language model(ChatGLM,GPT...) | ChatPDF...
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
Chat with document. RAG, LLM, Llama 3, Langchain, Faiss, Transformers and Streamlit UI
Chat with your PDF files using LlamaIndex, Astra DB (Apache Cassandra), and Gradient's open-sourc...
RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF. 纯原生实现RAG功能,基于本地LLM、embedding模型、reranker模...
A Generative AI project, which prioritize the RAG pipeline, adapting the Google's gemini-1.5-flas...
Open-source tool to visualise your RAG 🔮