RAG

A demonstration enterprise-grade retrieval-augmented generation system with a Next.js chat frontend, a FastAPI backend, and a LangChain AI layer, built for on-premise deployment in data-sensitive industries such as banking and healthcare.

• RAG
• Tutorials

A .NET binding for Google DeepMind's EmbeddingGemma-300m model that runs fully local, offline text embedding with no API key or cloud dependency, distributed as a single NuGet package for ASP.NET Core and Microsoft Semantic Kernel.

• RAG
• Libraries

A full-stack GraphRAG application with a Django backend and React frontend that builds a knowledge graph from ingested documents, detects thematic communities, and answers questions using hybrid vector and graph retrieval with LLM-powered reasoning.

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A self-hosted, full-stack retrieval-augmented generation system with a FastAPI backend built on pydantic-ai, a Flutter client, and a terminal UI, deployable by having an AI coding agent install its published Agent Skills.

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A CLI and GitHub Action that regression-tests RAG pipeline changes against a baseline using paired bootstrap significance tests, blocking a pull request only when a retrieval metric change is statistically real rather than noise.

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• Testing

A retrieval-augmented generation agent over the complete 3GPP Release-18 and Release-19 5G specification set, answering natural-language questions with paragraph-level citations back to the original text and strict grounding.

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A set of Databricks scripts that build a corpus from GitHub repository content, train and serve a semantic search model on CPU, and summarize repository code with the Azure OpenAI API.

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• Data engineering

A basic sample SAP Business Technology Platform application showing a semantic search engine built with the CAP model, SAP HANA Cloud's Vector Engine, and SAP's Generative AI Hub, with a SAPUI5 frontend.

• RAG
• Tutorials

A role-aware retrieval-augmented generation platform for enterprise knowledge bases that filters search results by the requesting user's role and document permissions.

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A research implementation of a retrieval-augmented framework that gives a vision-language model spatial awareness for object-centric robot manipulation.

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A local-first agentic retrieval-augmented generation engine that combines hybrid search, a knowledge graph and a multi-agent runtime, running entirely on Ollama.

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A local tool that compiles coding-agent sessions, folders and repositories into self-describing SQLite cells an agent can query by SQL, keyword or meaning through MCP.

• Agent memory
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The official implementation of a CIKM 2024 paper that improves multimodal electronic health record prediction with retrieval-augmented summaries from a knowledge graph.

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• Papers

A FastAPI starter for an authenticated, document-scoped retrieval-augmented generation system with built-in evaluation, rather than a bare upload-and-ask demo.

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A PDF question-answering web app that lets users upload documents, ask questions grounded in their content, and generate summaries, through a local three-service stack.

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A self-hostable, omni-modal retrieval platform that searches documents, images, audio and video with hybrid retrieval, reranking and a bounded agent for follow-ups.

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A single-node, multi-vector retrieval engine built around late-interaction MaxSim scoring, running on CPU or GPU with a FastAPI server, for on-premises RAG.

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A document-grounded enterprise assistant that fuses dense vector search, BM25 and Neo4j knowledge-graph traversal into one retrieval pipeline with agentic routing.

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An example project that builds a semantic image search application using a pretrained convolutional neural network for feature extraction and FAISS for retrieval.

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A local research agent that answers questions over a folder of PDFs with page-accurate citations, checking each one against the retrieved text before answering.

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A tool that converts documents into single, portable .vera SQLite archive files holding text, embeddings, a keyword index and citations, then supports keyword, semantic or hybrid search over one file or a folder of them, with no database server.

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• Databases

A Squeak/Smalltalk package that adds an OpenAI API client, conversational agents, a ChatGPT GUI, and a built-in vector database for semantic search and RAG.

• RAG
• Libraries

A RAG parameter-sweep and evaluation toolkit that systematically tests combinations of embedding models, chunking strategies, and retrieval methods against a user's own data and questions, before they build a RAG application.

• RAG
• AI evals

The source for the RadCrew.org website, a monorepo pairing a Vite React frontend with a FastAPI backend that answers visitor questions through a guardrailed, RAG-grounded chatbot.

• RAG