The platform for developers building applications powered by LLMs

8 Lessons, Get Started Building with Generative AI and Gemini API

Code for ICLR 2024 Paper: CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models

Code for ICASSP 2024 Paper: RECAP: Retrieval-Augmented Audio Captioning

Local image search engine powered by AI

High-recall conversational memory retrieval. 93.9% LoCoMo, 98.4% R@5 on LongMemEval — no LLM required. Local-first, cloud-ready.

Dynamic Few-Shot Prompting is a Python package that dynamically selects N samples that are contextually close to the user's task or query from a knowledge base (similar to RAG) to include in the prompt.

Local-first MCP server providing Pipecat docs, examples, and API context for AI coding agents

This repo implements many methods to retrieve molecules that are similar to a target molecule from a large molecule corpus.

Docker Compose stack for scalable TEI embeddings (multi-GPU) fronted by a FastAPI proxy with a Qdrant cache. 🐳⛓️💾

This Streamlit application demonstrates the integration of ChatGroq (Llama3 model), OpenAIEmbeddings, and FAISS for document embedding and retrieval.

باحث قرآني لغوي استدلالي متعدد الأبعاد

Legal-RAG — A law-grounded, graph-aware retrieval-augmented generation system, featuring statute-centric hybrid retrieval, task-aware routing, and LLM provider-agnostic generation.

A quiz and evaluator agent built on top of Karpathy's LLM wiki pattern. Generates contextual quizzes from your markdown knowledge base and evaluates your answers using Claude AI. Inspired by the West African folklore character - Anansi.

🤵🏻‍♂️🍷 An AI-powered wine recommendation system that helps customers find the perfect bottle based on taste preferences, grape varietals, food and cheese pairings, or mood. 🍇 🍝 🧀

A lightweight implementation of Retrieval-Augmented Generation (RAG) for enhancing language models with external knowledge.

LLM-ready retrieval demo using Flask, GitHub, and Render with automatic deployment.

SimplifiQ AI Internship Assignment

Using hugging face for Q&A retrieval

This repository hosts the canonical version of the THINKD-IDX13026 model, originally published as a Gist. Original Gist: https://gist.github.com/ottor28-cyber/851d072fe489d95094fbfe1942a04525 For full system instructions, see THINKD-IDX13026.md in this repository.