knowledge-assistant

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

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

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

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

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.

RAG-powered knowledge assistant for floating offshore wind professionals.

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.

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.

Nora — self-hosted knowledge assistant with role runtimes, retrieval (Qdrant/BGE), and versioned ingestion. Public source snapshot; fresh history rebuilt from the private development stream via make release.

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 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.

A modular AI Knowledge Assistant built with Python and traditional RAG, featuring document ingestion, embeddings, ChromaDB retrieval, cross-encoder reranking, grounded generation, multi-user support, and PostgreSQL persistence.

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

AI-powered knowledge assistant for intelligent document interaction built with Next.js, TypeScript and RAG.

AI Knowledge Assistant is a production-style RAG chatbot that helps teams find reliable answers across local runbooks and Atlassian Confluence pages. It uses Azure OpenAI embeddings, PostgreSQL with pgvector, and Azure AI Foundry Anthropic to deliver grounded, source-cited responses through a Streamlit interface. Reliable, cited AI answers.

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

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

Reusable Codex skill, templates, diagrams, and release checks for governed Webex knowledge assistants