E

embeddings

Python SDK for the PaveDB /v1 API, with HTTP client support and local embedded provider discovery.

A persistent-memory AI agent with cryptographically signed, hash-chained, tamper-evident memory. Pre-commit quality scoring quarantines prompt-injection; protected zones guard core records. Scans its own history for recurring gaps and proposes improvements for human review. Provider-agnostic (Claude, GPT, Gemini, DeepSeek, OpenRouter, Ollama).

GPU-accelerated embedding server for RAG systems - CUDA, FastAPI, sentence-transformers | Serveur d'embeddings GPU ultra-rapide

https://ayinedjimi-consultants.fr

Multi-source RAG pipeline with hybrid vector + keyword retrieval, LLM-powered concept knowledge graph, adaptive search weighting, and evaluation framework.

Content Orchestrator is an AI-powered system that streamlines the creation, optimization, and management of content for various purposes, such as blog posts, articles, and advertisements. By leveraging advanced natural language processing techniques and machine learning algorithms, it enhances the efficiency and effectiveness of content creation and distribution. The system employs a network of specialized AI agents that collaborate to analyze, label, and optimize content for specific target audiences and objectives, with a strong emphasis on creating advertiser-friendly content.

Remin is a local-first semantic search engine for personal notes. It combines embeddings, ANN vector indexing (HNSW), and reranking models to retrieve information based on intent rather than keywords — fully running on-device for privacy.

Built with Rust, DuckDB (VSS), and modern embedding models.

A simple Python program to generate (lowercase) embeddings, from someone (me) who really does not have much experience using Python.

Feature extractor to build an XML file with the required features for running ReelOut with the MSCoco Imageset.