RAG

A Python package that compresses KV-cache and vector payloads for existing agent runtimes and retrieval pipelines, adding reranking and benchmarking without requiring a new framework.

• RAG
• Inference

A pair of Colab notebooks demonstrating a retrieval-augmented generation workflow for extracting structured datasets from scientific paper abstracts, applied here to hydrogen-storage properties of metal alloys and hydrides.

• RAG
• Data engineering

A retrieval-augmented generation engine built with LlamaIndex for querying past MCM/ICM mathematical-modeling competition papers, chunking each paper by its heading structure into whole-section nodes tagged by year, problem and section for precise, filtered retrieval.

• RAG

A multimodal semantic search pipeline that ingests documents and images through Apache Airflow DAGs, extracts text and generates image descriptions, embeds the content, and serves cosine-similarity search over a Qdrant vector index with PostgreSQL for metadata.

• RAG
• Data engineering

An AI contract review system for enterprise legal and compliance teams that combines retrieval-augmented generation, a multi-agent router and Taiwanese statute lookup to flag risky contract clauses with cited legal sources and suggested edits.

• RAG

A self-hosted AI platform with a small core (RAG plus knowledge-graph memory, a provider-agnostic LLM gateway with fallback, and governance), a lifecycle manager that deploys, operates and scales the underlying infrastructure, and installable modules built on top.

• RAG
• LLM gateways

Research code for a system that answers open-ended questions about artworks by having a multimodal LLM read a painting and a predicted artwork card, then retrieving supporting passages from a multimodal Wikipedia knowledge base when it needs external knowledge.

• RAG
• Papers

A lightweight TypeScript vector database library that stores text chunks with metadata and embeddings in SQLite using the sqlite-vec extension, with built-in Hugging Face Transformers embedding support for cosine similarity search.

• RAG
• Databases

An example retrieval-augmented generation application that lets actuaries ask questions over life valuation actuarial documents, such as statutory accounting, principle-based reserving and IFRS 17, citing the source context behind each answer.

• RAG

An open-source retrieval-augmented generation platform that separates document ingestion, multimodal indexing, hybrid retrieval and agent integration into independently deployable services, with tenant isolation, role-based access control and citation-ready results.

• RAG

A document retrieval-augmented generation system that can run entirely client-side in the browser or as a FastAPI and FAISS backend, with fair-share retrieval across multiple uploaded documents and LaTeX math rendering.

• RAG

A self-hosted, embeddable chatbot that indexes a website's own content and answers visitor questions over text or voice, built entirely on the Cloudflare Workers stack with Vectorize for retrieval.

• RAG

A token-native knowledge base for LLM agent memory that keeps storage, indexing, search and graph traversal entirely in discrete token-ID space, decoding text only at the final retrieval step, avoiding embedding APIs and vector databases altogether.

• Agent memory
• RAG

A local-first command-line tool for semantic code search that indexes functions, methods, types and their attached documentation with Tree-sitter, then finds them by meaning rather than exact name, using local GGUF embeddings by default and sqlite-vec for storage.

• RAG
• CLI tools

An MCP server and CLI for semantic search over an Obsidian vault or any folder of linked Markdown files, generating embeddings through OpenAI, Ollama or LM Studio and storing vectors locally in sqlite-vec with no telemetry.

• MCP servers
• RAG

A Go command-line tool that compiles a folder of PDFs, Markdown and text files into a self-contained GraphRAG agent packaged as a single Docker container, with an embedded vector store, graph database and keyword index instead of a hosted service stack.

• RAG
• CLI tools

An on-device AI backend library for building in-game assistance features - screenshot understanding, retrieval-augmented Q&A, memory and speech recognition - accelerated on Intel GPU and NPU hardware, exposed to a game client over a local HTTP API.

• RAG
• Libraries

A self-hosted retrieval-augmented generation framework for teams that cannot send data to third-party APIs, with role-based access control, support for several LLM providers, and natural-language questions answered over uploaded tables via generated SQL.

• RAG
• Databases

A tool that packs long documents, codebases and PDFs into a token-budgeted, evidence-dense context file using local embeddings and scoring, without calling an LLM during packing, then hands the result to any model or agent.

• RAG

A self-hosted retrieval-augmented generation platform that combines Ollama, Qdrant, Redis and MinIO behind a FastAPI backend and Next.js interface, so document search and chat run entirely on a developer's own infrastructure.

• RAG

The official source code accompanying the Apress book Mastering Retrieval-Augmented Generation by Ranajoy Bose.

• RAG
• Books

A fast Rust command-line tool that pulls in data from local files, git repositories, websites, Hugging Face datasets, and file hosts, cleans and classifies it, and builds deduplicated, leakage-safe chat-format JSONL datasets for training and retrieval.

• RAG
• Data engineering

A plugin for DeepSeek Harness that turns local Markdown and text files into a queryable knowledge base, with hybrid semantic and keyword search, diversity re-ranking, and citation checking the agent can verify.

• Agent skills
• RAG

An open-source, self-hostable Next.js SaaS boilerplate for building custom AI chatbots trained on your own documents, URLs, and Q&A data, with citations, embeddable widgets, and built-in billing.

• RAG
• Web frameworks