semantic-embeddings

Transform your documents into intelligent conversations. This open-source RAG chatbot combines semantic search with fine-tuned language models (LLaMA, Qwen2.5VL-3B) to deliver accurate, context-aware responses from your own knowledge base. Join our community!

Experimental embedding research on semantic attention, Fourier token mixing, and branch-disagreement diagnostics.

It's a cache for text embeddings, but intelligent

🛡️ An AI-powered debate training and communication risk analysis platform. LogicShield strengthens your arguments, detects logical fallacies, and evaluates reputational risk before you publish, pitch, or perform.

Semantic Document Processor is an intelligent, open-source document analysis system that leverages Large Language Models (LLMs) to process and analyze complex documents like insurance policies, contracts, and legal documents. Built with modern AI/ML technologies, it provides structured, decision-ready responses to natural language queries

Empathetic AI engineering partner with cognitive memory, multi-agent orchestration (10 agents), 132-signal skill routing, and self-improving reflection loops. Built on Model Context Protocol. By Aldo Karendra.

Diffusion-guided topic modeling using semantic embeddings and unsupervised learning. Combines Sentence-BERT, diffusion models, and clustering to discover coherent topics, generate topic-conditioned text, visualize topic structures, and compare with traditional methods.

Natural language processing project combining semantic embeddings and toxicity detection to analyze Brexit-related immigration discourse.

Hybrid multi-document summarization system using Sentence-Transformers and KMeans clustering for semantic topic extraction, followed by BART-based abstractive refinement. Fully containerized with FastAPI and Docker.

AI-powered resume screening and ranking system using semantic embeddings and multi-factor scoring for fair and scalable recruitment.

Interactive 3D codebase visualization using AST parsing, semantic embeddings, and graph analysis. Built with WebAssembly, WebGPU, and modern web APIs.

📊 Research-driven NLP pipeline for labor-market analysis, using sentence embeddings, clustering, and taxonomy alignment with O*NET / SOC codes.

AI-powered Supplier Quality 8D Copilot that retrieves similar historical failures, root causes, corrective actions, and evidence-backed investigation guidance.

Probabilistic day-ahead LMP forecasting for 8–12 PJM zones using Temporal Fusion Transformer and a frozen semantic-embedding fusion branch. Produces P10/P50/P90 hourly forecasts, attention and variable-importance visualizations, and fusion-gate diagnostics.

Game recommendation system leveraging the all-MiniLM-L6-v2 sentence transformer for embedding generation and FAISS index for efficient similarity-based retrieval.

Autonomous Creative Mutation Swarm & Narrative Latent Space Optimizer. Modular chromosome genetic algorithm, Shannon narrative entropy guard, and exponential decay half-life modeling evading ad fatigue.

Cognitive MRI of AI Conversations: Network analysis of ChatGPT conversation logs using semantic embeddings to reveal knowledge topology, community structure, and cross-domain bridges

Experimental reader combining neural typography, stable semantic cues and delayed memory research. Source-preserving text with optional motion and sound.

collection of embedding services api

Official implementation of the paper: Papazis, S.; Giotis, A.P.; Nikou, C. "Enhancing Keyword Spotting via NLP-Based Re-Ranking: Leveraging Semantic Relevance Feedback in the Handwritten Domain." Electronics 2025, 14, 2900.