chromadb

AI-powered platform for research paper discovery, semantic search, PDF-RAG, cited Q&A, summaries, and exports.

Repositorio de Streamlit con herramientas como "Pregunta a tu PDF" que facilitan la consulta y gestión de documentos mediante Inteligencia Artificial.

Demo only - learn how to use Chat-GPT to analyze plain-text documents - here Cisco IOS Syslog-Files

FastAPI + Ollama RAG service for local/offline LLM inference with ChromaDB, Docker Compose, health checks, structured logging, and pytest coverage.

AI-powered regulatory compliance engine. Automates gap analysis across GDPR, SOC 2, and HIPAA using multi-agent RAG pipelines, and generates audit-ready reports with citations.

🎙️ Voice-enabled RAG chatbot with hybrid search, streaming responses, and 100% local processing. Built with FastAPI, Next.js, Ollama, and ChromaDB.

RAG-powered LLM assistant for HR policy Q&A with ChromaDB, guardrails, citation tracking, and evaluation framework. FastAPI + Streamlit.

RAG assistant over real NVD/GHSA vulnerability data — hybrid retrieval, OTel tracing, real eval baseline (recall@5 = 1.0)

Multi-agent warehouse operations assistant — LangGraph planner, MCP tools, forecasting and document extraction, running on free open-source infrastructure

Nova Poshta Hackathon

Llama RAG app to chat with Applicants' Resume and Extension for LinkedIn

WebChatBot is a project that takes any website URL as input and sets up a chatbot that can interact with users based on the content of the website

The Contextual Knowledge Search Platform is a chatbot interface designed to make information retrieval easy and efficient. It employs a Retrieval-Augmented Generation (RAG) model that leverages Cohere LLM for language understanding and Chroma DB for storing vector embeddings

An AI assistant that answers business FAQs using retrieval augmented generation, built with FastAPI, Chroma, and Groq's Llama 3.

KISS AI Stack's AI Stack builder

This is my first GenAI learning project, which generates cold emails for the job posting at any website. Emails are generated by LLM - ChatGroq, with the help of LangChain

Hybrid search comparing from-scratch TF-IDF vs. OpenAI embeddings on real product data, extended into a full RAG pipeline with grounded LLM-generated answers

RAG application that recommends and summarizes stock-prediction research papers, grounding an LLM in a vector-searched corpus.

A GraphRag implementation to ingest, retrieve, and traverse information from 2023 Internal Revenue Code, IRS Form 1040 instructions, and sample tax data.