GitHub topics: retrival-augmented
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: Python - Size: 85.9 KB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 361 - Forks: 36
NisaarAgharia/Advanced_RAG
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
Language: Jupyter Notebook - Size: 3.98 MB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 314 - Forks: 62
Mhijazi16/Briefly
📜 Briefly utilizes open-source LLM's with text embeddings and vectorstores to chat with your documents
Language: Python - Size: 18.6 KB - Last synced at: 9 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1
homayounsrp/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 Notebook - Size: 3.58 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 1
puyuan1996/ZeroPal
ZeroPal: A concise RAG example for LightZero QA.
Language: Python - Size: 452 KB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0
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 Notebook - Size: 8.93 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
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: Python - Size: 1.08 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
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: TypeScript - Size: 1010 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0
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 Notebook - Size: 118 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
harshitv804/MedChat
MedChat - ✨RAG based AI Chatbot🤖 for Indian Medicines 🇮🇳
Language: Python - Size: 31.3 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 1
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: Python - Size: 10.7 KB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
