retrieval

Local-first desktop LLM wiki that hydrates notes, PDFs, emails, and docs into Markdown entries, then retrieves them with keyword search and link traversal instead of embeddings or a vector DB.

An OTP-native Elixir library for building AI agents, durable LLM workflows, retrieval pipelines, and production LLM services.

An open-source memory governance layer for AI agents. It adds deduplication, conflict detection, decay, archival, and explainable retrieval so agent memory can be managed with more control than passive storage.

An open-source MCP server that returns page-cited, verbatim evidence from embedded and firmware reference docs for coding agents.

A governed memory runtime for AI assistants with typed storage, policy checks, audit logging, tenant isolation, and hybrid retrieval. The repo includes a backend API, worker jobs, SDK examples, architecture docs, and eval harnesses.

A zero-budget research search engine and RAG pipeline for 5,600 arXiv papers, built with free Colab processing, Qdrant free tier, and hybrid dense+sparse retrieval.

A GitHub example that audits LangChain’s RAG quickstart with retrieval-quality metrics, flags off-topic and out-of-distribution queries, and surfaces ranking and calibration issues with charts and results files.