The platform for developers building applications powered by LLMs
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Updated
Dec 18, 2023 - TypeScript
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
Local image search engine powered by AI
Code for ICASSP 2024 Paper: RECAP: Retrieval-Augmented Audio Captioning
Legal-RAG — A law-grounded, graph-aware retrieval-augmented generation system, featuring statute-centric hybrid retrieval, task-aware routing, and LLM provider-agnostic generation.
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.
High-recall conversational memory retrieval. 93.9% LoCoMo, 98.4% R@5 on LongMemEval — no LLM required. Local-first, cloud-ready.
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. 🐳⛓️💾
open-source VoiceAgentRAG. Sub-millisecond predictive retrieval for voice and conversational AI
This Streamlit application demonstrates the integration of ChatGroq (Llama3 model), OpenAIEmbeddings, and FAISS for document embedding and retrieval.
باحث قرآني لغوي استدلالي متعدد الأبعاد
Multi-agent RAG examiner that quizzes you on your own knowledge base and grades your answers with written feedback.
🤵🏻♂️🍷 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.
Give AI agents a memory that outlives the session: local-first SQLite per project, hybrid search, workspace sandboxes, and optional cloud sync.
XPrint a fingerprint embedding retrieval system
A 5-agent research pipeline (Router → Researcher → Fact Checker → Analyst → Synthesizer) orchestrated with n8n. Every claim is scored verified/disputed/unverifiable before it reaches the report. Next.js + Postgres + Gemini.
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