#groq-api
GitHub Topic「groq-api」がついているAI関連リポジトリの集計。Topicはリポジトリ作者が自己申告するメタタグで、AI関連の文脈で何が「groq-api」と分類されているかを可視化します。
REPOS #groq-api のRepo (TOP 9 / Stars降順)
PhytoNexus is an AI-powered botanical intelligence platform for plant disease diagnosis, multi-agent reasoning, conversational plant care, and comprehensive botanical knowledge.
Sushant0999/auto_mailer_aiAI-powered email automation platform that generates, personalizes, and sends smart emails using modern AI workflows. Designed for bulk outreach, scheduling, templates, and intelligent email management.
sayan-academic/tata-telemetry-chatbotChatbot developed during Tata Steel Summer Internship, uses live IoT Telemetry data for various machines and allows users to query and fetch details for the same.
BurraRohan/PersonaAIMulti-agent AI system for LinkedIn personal branding with feedback loop
Dev-Kavindu/TechNova-AI-Assistant🤖 An advanced, policy-compliant RAG-powered Internal Knowledge Assistant for TechNova. Built with LangChain, Chroma DB, and Llama 3.3 (Groq). Features strict source grounding, 100% retrieval precision, comprehensive factual citations, automated evaluation pipelines, and a dynamic multi-category Gradio chat interface. 🚀
Junaid-Ahmed-Rupok/smart-rag-chatbotRAG chatbot that indexes your PDFs, DOCX & TXT files and answers questions with cited sources — powered by Groq + FAISS + LangChain
Abdullahameed/mindcare-ai-chatbotA clinical mental health companion powered by FastAPI, Next.js 14, and native Android. Implements RAG via LangChain, Groq (Llama 3), and Cohere embeddings with real-time sentiment tracking, mood analytics, and PDF consultation reports.
Saikiran4062005/LangChain-AI-ChatbotAn AI chatbot built with Streamlit, LangChain, Google Gemini, Groq, and FAISS featuring conversational AI and intelligent PDF question answering.
hecatops/spiel-2.0AI-powered interactive storytelling engine with dual-agent architecture, adaptive narrative revision, secure server-side sessions, resilient LLM output validation, and RPG-like player trait tracking.
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517集計対象: 各Repoの最新contentスナップショットの topics_json に小文字一致でマッチしたもの。 算出方法