RAG

A sample CAP-based application on SAP Business Technology Platform that demonstrates retrieval-augmented generation and LLM-based email analysis using SAP AI Core and SAP HANA Cloud's vector engine.

• RAG
• Tutorials

An RL post-training framework for retrieval-augmented reasoning that adds explicit knowledge-refinement steps between search calls, from a NeurIPS 2025 paper.

• RAG
• Models

A Blazor web app and minimal API that performs retrieval-augmented generation and vector search using the native VECTOR type in Azure SQL Database or SQL Server 2025, with Azure OpenAI and Microsoft Agent Framework.

• RAG
• Databases

A context harness for AI agents that presents code, memory, docs, chats and databases from many sources as one searchable, browsable file-like tree.

• Agent memory
• RAG

A local-first Streamlit application for document analysis that combines hybrid retrieval, optional knowledge-graph search and multi-agent coordination over local large language models.

• RAG

A local-first Python toolkit and FastAPI service for inspectable retrieval-augmented literature review, showing the retrieved passages and run history behind each answer.

• RAG

An open-source Python framework for fine-tuning retrieval-augmented generation systems across both centralized and federated architectures.

• RAG
• Models

A Python tool that deploys Haystack pipelines and agents as REST APIs, MCP tools, or A2A services, with optional OpenAI-compatible chat endpoints and a bundled Chainlit UI.

• MCP servers
• RAG

A hands-on workshop sample that builds a retrieval-augmented-generation chat application with LangChain.js and OpenAI, deployable to Azure Static Web Apps, Azure Container Apps and Azure AI Search.

• RAG
• Tutorials

A human-generated, multi-turn benchmark and four document corpora for evaluating retrieval-augmented-generation systems on realistic, multi-turn conversations.

• RAG
• AI evals

A Swift library for running text-embedding models locally using Apple's MLTensor, supporting BERT, ModernBERT, NomicBERT, RoBERTa, XLM-RoBERTa and Qwen3 embedding architectures loaded directly from Hugging Face.

• RAG
• Inference

A large collection of 1297 interview questions and answers on Retrieval-Augmented Generation, covering 52 RAG architectures, system design scenarios, and production failure modes for AI/ML engineers.

• RAG
• Tutorials

A command-line tool that turns local video folders into a searchable library, finding moments by meaning, spoken words or on-screen text using your own model API key.

• RAG
• CLI tools

A step-by-step, notebook-based tutorial that builds a retrieval-augmented-generation pipeline meant to stay accurate at a scale of ten million or more documents, ending in a self-correcting agent that cites and verifies its own claims.

• RAG
• Tutorials

A framework-free, pure-Java implementation of a retrieval-augmented-generation pipeline, with a visual playground for uploading documents, asking grounded questions, and inspecting the retrieved passages behind each answer.

• RAG

An embedded, in-process vector database library for .NET that runs inside an application with no separate server, used for semantic search and retrieval-augmented generation.

• RAG
• Databases

An NVIDIA AI Workbench example that adds an agentic layer to a RAG pipeline, routing to live web search when retrieved context is thin and evaluating each response for relevance and hallucination.

• RAG
• AI evals

A Rust-native embedded graph-vector database that combines OpenCypher-style querying, vector search and graph algorithms in one system for GraphRAG, knowledge graphs and large-scale relationship analytics.

• RAG
• Databases

A local knowledge-graph and hybrid-search server for Obsidian vaults that exposes an MCP server, an HTTP REST API and ChatGPT Actions so AI agents can search, read and edit notes.

• Agent memory
• RAG

A Unix command-line wrapper over Jina AI's search, read, embedding, and reranking APIs, designed so an AI agent with shell access can call one consistent tool instead of many separate API integrations.

• RAG
• CLI tools

An example retrieval-augmented-generation project demonstrating question answering over an internal document set using a locally deployed large language model.

• RAG
• Tutorials

An open-source toolkit for building RAG pipelines that converts PDFs to Markdown, cleans the result, and lets a user visually inspect and compare chunking strategies before indexing.

• RAG

A command-line tool implementing Retrieval-Augmented Fine-Tuning, fetching a person's public writing from sources such as Substack, X, or RSS to build a combined fine-tuning and retrieval dataset.

• RAG
• Models

A research framework for retrieval-augmented generation across text, image, video, and mixed-granularity corpora, using a learned or training-free router to pick the right corpus per query.

• RAG