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.

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.

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

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.

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.

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.

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

Relevant for: LLM Intern, AI Engineer Intern, RAG Systems, AI Assistants, LangChain Applications.

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

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

bedrockbarag 🛌🪨 : Enterprise Knowledge Assistant # Bedrock # KB # RAG # Text to Vector # OpenSearch # nova # titan embeddings

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