GenAI/RAG Optimizer and Toolkit for experimentation using Oracle Database AI Vector Search and NL2SQL

AI Toolkit for Node.js (LLM, Image Generation, Embeddings, Vector Search)

A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: 🚀 AI Gateway (LiteLLM) 🤖 LLM Serving (vLLM, SGLang, Ollama) 📊 Vector Databases, 🔍 Embedding Models (TEI) 📈 Observability (Langfuse, Phoenix) etc. Fast-track your GenAI deployment with Kubernetes

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

Explainability toolkit for retrieval models. Explain prediction of vector search models (embeddings similarity models, siamese encoders, bi-encoders, dense retrieval models). Debug your vector search models for RAG or agentic AI system.

AI prompt injection detection and defense toolkit. 8-layer detection engine with 17 attack vectors, zero dependencies.

Coleção curada de agents, commands, skills e scripts para Claude Code — usado diariamente pela Vector Labs

Zuno is a modular SDK and developer toolkit for building AI-powered chatbots with multimodal capabilities. It includes a customizable client, backend APIs, and integrations with vector stores, billing systems, and authentication, designed to accelerate AI product development.

Explore vector databases and AI with Python, Pinecone, LangChain, OpenAI, and Hugging Face. This repo demonstrates building AI and ML-driven chat applications, showcasing practical implementations and innovative chatbot solutions.

🚀 The Agentic Memory Layer & Universal Retrieval Toolkit. Synthetic data generation, 15+ vector backends, hybrid search, and MCP native memory for AI agents.

Cross-platform, open-source screen recording and post-production toolkit for Windows, macOS, and Linux. Record in high quality with hardware acceleration, then edit with vector annotations, blur, zoom, captions, and AI-powered features, all in one lightweight C++ app.

PersonaMirror is a local‑first toolkit for building a highly personalized AI “Mirror” of an individual. It ingests personal data from files and URLs, transforms that content into structured factual statements and preferences with provenance, and stores it in a local vector database that the Mirror Agent uses to ground its responses.

AI Red Teaming Toolkit - 200+ attack vectors, pytest-native, OWASP LLM Top 10 mapped

A lightweight AI utility toolkit designed for fast prototyping, text processing, and vector-based transformations.

ResearchAI - A Python toolkit for AI/NLP research with modular data processing, vector storage, and retrieval utilities to accelerate experimentation

🚀 Advanced Hybrid Search Toolkit for PostgreSQL - Seamlessly combine vector similarity, BM25 full-text search, and AI-powered reranking with pgvector, OpenAI, and Voyage AI

Internal Productivity Toolkit for BRKH STUDIO. All-in-one Chrome Extension to streamline AI-driven music analysis, Suno prompt generation, and microstock vector engineering workflows.

AI_Search is a modular, AI‑powered search and retrieval‑augmented generation toolkit that indexes structured and unstructured data, supports hybrid keyword‑plus‑vector queries, and produces grounded answers with citations and reranking options.

A versatile toolkit for building Generative AI apps with LangChain. Includes fine-tuning, instruction tuning, RAG workflows, vector database integration, and intelligent agent development. Ideal for developers and researchers exploring advanced AI workflows and deployment techniques.

Financial Data Parser - High-Performance Financial Data Processing Toolkit A production-grade system for parsing, analyzing, and querying financial data in Excel formats with AI-powered type detection and vectorized processing.

A lightweight toolkit for exploring, extracting, and analyzing ARGO float NetCDF oceanographic datasets. Provides structured metadata extraction, variable insights (temperature, salinity, pressure, etc.), and easy integration with vector databases for AI-powered querying.

The rs-toolkit is a personal learning lab and toolkit for remote sensing, focusing on Python and AI/ML applications. It contains Jupyter notebooks and scripts covering fundamental tasks in remote sensing, from basic raster and vector operations to advanced machine learning and deep learning techniques.

VecbBloom is a research-driven toolkit combining vector-enhanced Bloom filters with synthetic data generation via large language model (LLM) distillation. This hybrid system is designed for efficient, privacy-preserving data filtering and augmentation in modern AI workflows.

GeoAnnotator — A complete manual and assisted annotation toolkit for satellite imagery, combining YOLOv8, Segment Anything (SAM), and interactive web interfaces. Enables human-in-the-loop labeling, feature vector extraction, similarity search, and dataset preparation for geospatial AI training pipelines

AI-powered toolkit for Datadog Logs. Transform natural language into Log Search and DDSQL queries, execute searches against Datadog API, and get plain English explanations. Features RAG-enhanced intelligence with hybrid search (OpenAI + SPLADE embeddings), Qdrant vector store, and Claude Sonnet for query generation.

ALPHASVG is a Rust-powered or Python-powered background removal and vectorization toolkit that transforms any photo into production-ready transparent SVGs. Using state-of-the-art ONNX models (17+ variants: U2Net, BiRefNet, SAM, Bria-RMBG) with automatic caching, it generates crisp alpha masks via AI inference, then offers 5 artistic SVG styles.