Topic: retrival-augmented Goto Github
Some thing interesting about retrival-augmented
Some thing interesting about retrival-augmented
retrival-augmented,MedChat - โจRAG based AI Chatbot๐ค for Indian Medicines ๐ฎ๐ณ
User: harshitv804
Home Page: https://huggingface.co/spaces/harshitv804/MedChat
retrival-augmented,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.
User: homayounsr
retrival-augmented,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.
Organization: mindinventory
retrival-augmented,Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
User: nisaaragharia
retrival-augmented,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.
User: olasunkanmi-se
retrival-augmented,ZeroPal: A concise RAG example for LightZero QA.
User: puyuan1996
retrival-augmented,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.
User: rajasami156
retrival-augmented,Visualization for a Retrieval-Augmented Generation (RAG) Assistant ๐คโ๐๐ฐโค๏ธ
User: renumics
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