Topic: "embedding-model"
shamspias/langchain-chat
langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.
Language: Python - Size: 1.34 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 87 - Forks: 16
octa0521/langchain-chat
langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.
Language: Python - Size: 433 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0
dchandak99/LSTM_isb
LSTM with attention for time series predictions of stock prices using own Ticker Embedding model
Language: Python - Size: 527 KB - Last synced at: almost 3 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 3
Cicatriiz/google-embedding-utcp-manual
A UTCP manual for the Google Gemini embedding model, allowing any UTCP-compliant client to generate text embeddings.
Size: 1.95 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
Nirikshan95/AskMyYouTube
App that answers questions about any YouTube video using its transcript. Built using Retrieval-Augmented Generation (RAG) with LangChain, vector stores, and LLMs.
Language: Python - Size: 16.6 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
