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Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚
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.
Discover Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain and OpenAI LLM
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.
MedChat - ✨RAG based AI Chatbot🤖 for Indian Medicines 🇮🇳
ZeroPal: A concise RAG example for LightZero QA.
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.