RAG

An open-source, self-hostable knowledge base with rich-text editing, hybrid search and GraphRAG that exposes the same documents to people and to AI agents over MCP, REST, an SDK or a CLI.

• RAG
• Documentation tools

A hands-on workshop of labs that build semantic search, recommendations, retrieval-augmented generation and agentic incident remediation using pgvector, Aurora PostgreSQL and Amazon Bedrock.

• RAG
• Tutorials

A course that teaches vector databases, embeddings and retrieval-augmented generation from fundamentals to production, working through ChromaDB, Pinecone and LangChain in runnable Python scripts.

• RAG
• Tutorials

A hands-on course that builds a retrieval-augmented-generation system from scratch in plain Python, one Jupyter notebook at a time, before showing the same pipeline rebuilt with LangChain.

• RAG
• Tutorials

A local-first command-line tool and terminal UI that crawls a GitHub repository's issues and pull requests, generates embeddings for them, and clusters related work for maintainers to browse.

• RAG
• Git

A Python library that extracts the main content from raw HTML using small encoder models, stripping navigation, ads and boilerplate for feeding cleaned pages to language models or search pipelines.

• RAG

A local search engine that indexes images, video and other hard-to-search files using OCR, speech-to-text, image embeddings and automated tagging, letting several models' results sit side by side at search time.

• RAG
• Databases

A PDF extraction tool that checks its own output for dropped or scrambled pages and re-extracts them with a stronger backend, and can also audit any other extractor's output for the same silent failures.

• RAG
• Data engineering

An embedded retrieval library that runs full-text, vector, hybrid and SQL search over one table, stored as ordinary Parquet files on local disk or object storage.

• RAG
• Databases

A local, offline question-answering system built on retrieval-augmented generation, demonstrated on logistics-industry documents but built to be repointed at any organization's own knowledge base.

• RAG
• Databases

Research code for teaching a multimodal language model to recognize and remember user-specific concepts through retrieval augmentation, so it can discuss a person's own subjects in later conversations.

• RAG
• Papers

A reference implementation for building a retrieval-augmented-generation chatbot and document management system, with a FastAPI backend, a document extraction pipeline and a choice of language model providers.

• RAG
• Backend

A local memory and search layer that stores notes in SQLite and exposes full-text and vector-capable search over them through HTTP, MCP, a CLI and a web UI.

• Agent memory
• RAG

An ebook that gives a practical, hands-on approach to building retrieval-augmented generation systems.

• RAG
• Books

A research implementation that compiles a bounded document corpus into a navigable hierarchy of Anthropic Skills, so an LLM agent answers questions by browsing documents instead of querying a vector search service.

• Agent skills
• RAG

A queryable personal knowledge base over scattered notes, docs and chat logs, using hybrid vector-plus-keyword retrieval with section-level citations and an MCP server so AI agents can use the same index.

• Agent memory
• RAG

A high-performance knowledge graph engine built for LLMs, GraphRAG and AI-native applications, using sparse matrix algebra for sub-millisecond graph traversals and full OpenCypher query support.

• RAG
• Databases

A local AI research agent that answers questions through Ollama by combining web search, open-source intelligence lookups and multi-hop retrieval-augmented reasoning.

• RAG
• Security

A suite of tools for automated benchmarking of retrieval-augmented-generation systems, generating synthetic queries, judging answers with an LLM, and preparing datasets for reproducible testing at scale.

• RAG
• AI evals

A lightweight Python framework for quickly building a specialized AI agent for one industry or task and delivering it as an API service, with built-in retrieval-augmented generation and injectable domain skills.

• Agent frameworks
• RAG

An open-source, self-hostable retrieval-augmented-generation platform that ingests documents, embeds and indexes them with Turbopuffer, and serves semantic, keyword and hybrid search behind one REST API.

• RAG
• Databases

A multi-agent, self-correcting retrieval-augmented reasoning engine that plans multi-hop evidence retrieval, then has a critic and reviser iterate on an answer until it converges, with reproducible evaluation against a judge.

• Agent frameworks
• RAG

An embedded, multimodal vector database built for local retrieval-augmented generation, positioned as a drop-in, GPU-accelerated backend for frameworks such as LangChain, LlamaIndex, and mem0.

• RAG
• Databases

A platform for semantic search across large video datasets, supporting text-to-video and video-to-video queries with GPU-accelerated embeddings and vector similarity search.

• RAG
• Databases