RAG chatbot built on top of trending M&A news.
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Updated
Jul 13, 2023 - Python
RAG chatbot built on top of trending M&A news.
RAG Customer Support Chatbot that's capable of answering any user questions regarding company products.
Retrieval Augmented Generation Apps Learnings
Retrieval-Augmented Generation model application with Hugging Face inference API for embeddings and LangChain ChromaDB for data storage.
What I learn about RAG, i use Langchain and maybe Llama-Index
RAG with Apache Airflow, LlamaIndex, and Qdrant
Code for the paper: "Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation"
A content navigator powered by GPT-3.5-Turbo to explore multiple documents uploaded using Streamlit UI. It uses `Document Array Memory` for small and `Pinecone` for large document pools and delivers concise, referenced search results.
Developed an Azure OpenAI-based RAG email marketing platform with a Streamlit frontend and FIASS vector database for similarity search. The platform processes multiple input formats, including CSV, PDF, text, and PPT, and incorporates product descriptions and sales data to generate creative content and matplotlib graphs based on the input data.
In this project, I leveraged the RAG (Retrieval-Augmented Generation) concept to build a complete chat pipeline from scratch. Notably, I did not rely on any online RAG frameworks (e.g., Ollama).
random and continuous choose your own adventure
Detailed description given in the README
DocQ is a fast, open-source Q&A bot that finds answers from your PDFs in seconds. Just upload your documents and ask questions, no more scrolling!
This is a minimal implementation of the multi-source RAG chatbot
A basic RAG that allows you to upload code files, process them, and query them using Ollama models
An Retrieval-Augmented Generation (RAG)-powered Generative AI application that enables administrators to securely manage company data, allowing users to engage in company-specific conversations or, if no data is available, interact with a base Large Language Model (LLM) powered by DeepSeek.
This repository offers a hands-on guide to mastering Generative AI with Langchain and Huggingface. It covers key concepts, practical implementation, and deployment strategies to help AI enthusiasts, developers, and professionals build and optimize AI models efficiently
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