Structured Data Extractor for AI Agents. Search your documents or the web for specific data and get it back in JSON or Markdown in a single tool call.
-
Updated
Mar 29, 2025 - Python
Structured Data Extractor for AI Agents. Search your documents or the web for specific data and get it back in JSON or Markdown in a single tool call.
Contextual AI models for single-cell protein biology
Context-sensitive ranking and choice in Python with PyTorch
A Stream-based LLM Agent Framework for Continuous Context Sensing and Sharing
The implementation of “A Context-Aware User-Item Representation Learning for Item Recommendation”, Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo, https://dl.acm.org/citation.cfm?id=3298988
Oh-My-Papers: a Hybrid Context-aware Paper Recommendation System
Dynamic FastMCP extends the Model Context Protocol Python server with context-aware tools that adapt their behavior and descriptions based on user, tenant, and request context.
Interactive chat application leveraging OpenAI's GPT-4 for real-time conversation simulations. Built with Flask, this project showcases streaming LLM responses in a user-friendly web interface.
A Deep Learning Based Context-Aware Recommendation Library
Context-aware Biases for Length Extrapolation
StickerSelector 是一个基于语义向量匹配的表情包选择系统,用于让 AI 在聊天中发送真正符合语境的表情包。 与传统依赖关键词或规则的方案不同,StickerSelector 会将 AI 生成的“表情包意图描述”与本地表情包进行语义匹配,从而选出在当前语境下最自然、最像真人会使用的表情。 适用于 AI 聊天机器人、QQ或微信的自动聊天、AI 女友等需要“拟人化表达”的场景。
Wrappers for translation services
Chat with your PDFs using AI! This Streamlit app uses RAG, LangChain, FAISS, and OpenAI to let you ask questions and get answers with page and file references.
Given a text, wrap it into phrases and send them to Yandex's search engine. If it yields a "did you mean:", substitute the original phrase for the suggestion. The software was originally developed for correcting OCR output.
Dual-mode AI assistant (CLI + Telegram) powered by Perplexity AI. Fast, modular, and cross-platform.
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds
Official PyTorch code for UAI 2024 paper "ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding"
Chat with your PDFs using AI! This Streamlit app uses RAG, LangChain, FAISS, and OpenAI to let you ask questions and get answers with page and file references.
A context aware recommender system using a user-based collaborative approach
A group recommender system based on collaborative filtering
Add a description, image, and links to the context-aware topic page so that developers can more easily learn about it.
To associate your repository with the context-aware topic, visit your repo's landing page and select "manage topics."