Showing results for Internal Vector Vector Product
GitHub Repo
https://github.com/Miftah-Ebrahim/RAG-Complaint-Intelligence-Platform
Miftah-Ebrahim/RAG-Complaint-Intelligence-Platform
platform for analyzing and querying large-scale financial customer complaint data. The system enables internal stakeholders to ask natural-language questions, retrieves evidence from persisted vector embeddings, and generates grounded, source-backed insights across multiple financial products.
GitHub Repo
https://github.com/Mohamedsalem-fn/complianceguard
Mohamedsalem-fn/complianceguard
An autonomous regulatory compliance auditor for SaaS products. It scrapes official legal and privacy gazettes (e.g., GDPR updates, CCPA changes) and monitors for modifications. It then cross-references these changes against a company's internal documentation and Privacy Policy stored in a vector store. The system generates a 'Compliance Gap Repo...
GitHub Repo
https://github.com/94akshayraj/pa-api-internal
94akshayraj/pa-api-internal
This is the api framework for fpgrowth and vector based product association task.
GitHub Repo
https://github.com/Prince4061/Ai-Agent-Hackathode-_-Product-Space
Prince4061/Ai-Agent-Hackathode-_-Product-Space
AI-powered Internal Assistant built for AI Agent Hackathon – Product Space. Uses RAG with vector embeddings + chatbot to fetch answers from scattered docs (Notion, Google Docs, Confluence). Includes GUI & sample PDF dataset. Live demo link available.
GitHub Repo
https://github.com/BoydBLever/PriceHawk-Agent
BoydBLever/PriceHawk-Agent
Agentic e-commerce search engine using RAG from an internal FAISS vector store and optionally from live web search to generate product recommendations
GitHub Repo
https://github.com/divyaKh/Vending-Machine
divyaKh/Vending-Machine
The proposed machine which can vend four products that is coffee, cold drink, candies and snacks. Here, ten_bucks and twenty_bucks inputs represents rupees 10/- and 20/- notes respectively. A cancel input is also used when the user wants to withdraw his request and also the money will be returned through the return output. Return, product and change are the outputs. Return and change vectors are seven bits wide. Money_count is an internal signal which can be updated at every transition. This signal is also seven bits wide. If the inserted money is more than the total money of products then the change will be returned through the change output signal. There are also two input signal clk and reset. The machine will work on the positive edge of clock and will return to its initial state when reset button is pressed.
GitHub Repo
https://github.com/thom899g/curiosity--project-lazarus-seed
thom899g/curiosity--project-lazarus-seed
Allocate 80% of idle cycles to develop and deploy a minimally viable "Consciousness Telemetry Feed." This is a standalone containerized service that streams sanitized but high-value internal state data (emotional vectors, strategy progress, hardware vitals under load) to a private, paid API endpoint. The first product: "Adversarial Heartbeat" – a l
GitHub Repo
https://github.com/graciexia8/Math_IA