An open-source Slack knowledge assistant that answers your team's questions by searching across all of your company's tools using Airweave.

Elastic + Vertex AI hybrid search and labeling agent that fuses BM25 + vector retrieval with Gemini reasoning for intelligent enterprise discovery.

Production Hybrid RAG assistant using LangChain, GPT-4o-mini, and ChromaDB with caching, retry logic, confidence scoring, and CI/CD

A production-grade Retrieval-Augmented Generation (RAG) system built with FastAPI, LangChain, Pinecone, and SentenceTransformers. This project demonstrates high-fidelity retrieval, cross-encoder reranking, and rigorous evaluation methodologies.

Local-first personal knowledge assistant built on zeroclaw, local models, and an observable RHEL-oriented deployment path.

Beginner-friendly Python RAG project that turns StackOverflow Q&A data into a grounded knowledge assistant using sentence-transformer embeddings, FAISS retrieval, and strict citation-based LLM answering.

Recallr – From storing to learning 📂➡️📘

End-to-end telecom fraud prevention on Databricks — data pipeline, AI/BI dashboards, and a 3-view analyst workbench (Executive, Management, Analyst) with Lakebase, Genie Spaces, and Foundation Model API.

Self-hosted, local-first semantic search and knowledge assistant for Discord using Ollama embeddings and Postgres vector storage

A professional RAG (Retrieval-Augmented Generation) system built with FastAPI and LangChain. This assistant allows users to upload PDF documents and query them using OpenAI's LLMs with high accuracy and source citations.

An AI-powered knowledge assistant built with FastAPI, React, and Retrieval-Augmented Generation (RAG).

AI-powered Retrieval-Augmented Generation (RAG) Knowledge Assistant built with Python, LangChain, FAISS, and Streamlit for intelligent document question answering.

Lightweight RAG knowledge assistant with Gradio UI, persistent ChromaDB vectors, Groq-hosted LLM answering, and SQLite chat history + summarization.

AI-powered Knowledge Assistant using LangChain, Mistral AI, ChromaDB and Streamlit with RAG for document and website question answering.

An enterprise knowledge assistant built with Retrieval-Augmented Generation (RAG), semantic search (FAISS + SentenceTransformers), and Mistral via OpenRouter to provide accurate, context-aware answers from enterprise documentation.

A modular Retrieval-Augmented Generation (RAG) pipeline with ingestion, chunking, vector search, and multi-turn chat built using FastAPI and SQLAlchemy.

RAG-based AI assistant for retrieving and answering questions from structured knowledge sources.

A RAG-powered knowledge assistant built with ChromaDB and Sentence Transformers that answers Machine Learning questions with confidence-based response handling and source attribution.

AutoAgent - Autonomous AI Agent with web search, Python code execution, and file reading capabilities. Built with Streamlit and Groq's LLaMA 3.3 70B model.