Production-ready semantic vector search for Django — searches across FK, M2M, and reverse relations by traversing your model graph. Pluggable backends: ChromaDB, FAISS, Qdrant.
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Updated
May 19, 2026 - Python
Production-ready semantic vector search for Django — searches across FK, M2M, and reverse relations by traversing your model graph. Pluggable backends: ChromaDB, FAISS, Qdrant.
AI-powered Indian legal assistant using RAG — 164K chunks, hybrid search, cross-encoder reranking, Gemini 2.5 Flash streaming, 3D Next.js UI.
RAG-based chatbot that ingests Healthline URLs to produce concise, source‑grounded summaries & answers. Built to eliminate manual copy‑pasting & streamline insight extraction: paste article links, ask a question, & get reliable, Healthline‑only results fast.
A Retrieval-Augmented Generation (RAG) based AI assistant for answering questions using video transcript chunks, featuring contextual understanding, similarity ranking, and JSON-formatted responses.
RAG Mini Project — Retrieval‑Augmented Generation chatbot with FastAPI backend (Docker on Hugging Face Spaces) and Streamlit frontend (Render), featuring document ingestion, vector search, and LLM‑powered answers
Serverless Retrieval-Augmented Generation system on AWS using Bedrock Titan embeddings, Aurora PostgreSQL pgvector, Lambda, API Gateway, SageMaker, and Streamlit.
AI Document Intelligence System for deep analysis and semantic querying of ingested docs and other pdfs
Advanced RAG with hybrid search, query classification, answer fusion, and self-correction
RAG PDF chatbot, retrieval-augmented QA over PDFs using FAISS and Ollama Llama 3.2:3b.
CampusAI is an agentic RAG assistant for university queries—routes questions to academics/notices/PYQs, retrieves context from MongoDB, and answers via LLMs (FastAPI backend).
A WhatsApp bot with Baileys + Python RAG catalog search + Ollama/Mistral for cha
My First RAG pipeline using local ollama models
Gemini-powered, zero-hallucination AI chatbot for Montfort ICSE — semantic search, IUI Engine v2.5, verified school data, and hybrid RAG architecture.
Swarm-A2P implements SwAPTP, a protocol for autonomous agents to resolve natural-language content intents against peer-to-peer file swarms, without a central orchestrator, a semantic layer.
🕵️♂️ Vibe Checker — AI-платформа для поиска мест по атмосфере («вайбу»). Анализ отзывов через LLM (Gemini), семантический поиск (Qdrant) и детальное сравнение заведений. Стек: FastAPI, Next.js, PostgreSQL, Redis.
Lean vector embedding provider package for CitOmni with unified contracts across providers and profile-based adapters.
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