retrival-augmented

There are 12 repositories under retrival-augmented topic.

  • MindSQL

    Mindinventory/MindSQL

    MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Llama 2, it enables natural language queries. Supports ChromaDB and Faiss for context-aware responses.

    Language:Python19891517

  • NisaarAgharia/Advanced_RAG

    Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.

    Language:Jupyter Notebook1983037

  • puyuan1996/ZeroPal

    ZeroPal: A concise RAG example for LightZero QA.

    Language:Python4200

  • harshitv804/MedChat

    MedChat - ✨RAG based AI Chatbot🤖 for Indian Medicines 🇮🇳

    Language:Python3201

  • olasunkanmi-SE/IntelliSearch

    IntelliSearch is an advanced retrieval-based question-answering and recommendation system that leverages embeddings and a large language model (LLM) to provide accurate and relevant information to users.

    Language:TypeScript3120

  • harrisonsrp/GPT-Chatbot-for-a-restaurant-with-Flask-and-RAG

    In this project, I built a chatbot to answer customer simple inquiries about restaurants, such as displaying the food menu and contact, and providing information about the number of available tables for reservation.

    Language:Jupyter Notebook2101

  • Mhijazi16/Briefly

    📜 Briefly utilizes open-source LLM's with text embeddings and vectorstores to chat with your documents

    Language:Python1211

  • rajasami156/Pinecone-Langchain-Retriever

    Pinecone Explorer: Unleash text exploration's power with Pinecone Explorer. Efficiently process and query large datasets using Pinecone's vectors, langchain's text handling, and OpenAI's language model.

    Language:Python120

  • Jac-Zac/IR_Vector_Store_RAG

    Final Project for Information Retrival, this is an implementation that uses numpy of a vector store and a RAG PoC with ollama

    Language:Jupyter Notebook10

  • quamernasim/Superhero-Character-Based-On-RAG-AI-Using-Haystack-And-Qdrant

    We are going to showcase how to build a superhero character AI - where users can chat with their favourite superheroes.

    Language:Jupyter Notebook10

  • serkanyasr/RAG-with-LangChain-URL-PDF

    LangChain framework provides chat interaction with RAG by extracting information from URL or PDF sources using OpenAI embedding and Gemini LLM

    Language:Python101

  • Zain-Saiyed/Media-Content-Moderation-using-LLM

    AI agent for automated content moderation of movies and books, employing Retrieval-Augmented Generation (RAG) and natural language processing Large Language Models to identify, discover, and summarize potentially concerning content for informed decision-making.

    Language:Python20