GoogleCloudPlatform/knowledge-catalog

This page introduces an external open-source repository. It is not an HDATF product.

What it does

Tools, agents and samples for Google Cloud Knowledge Catalog, formerly Dataplex, a data catalog and metadata platform that provides a knowledge graph over structured and unstructured data. The samples show context management, enrichment and retrieval for AI agents.

How it helps ATF

Adding business meaning to data before agents retrieve it is worth comparing with how Company Brain connects company material and records to work within access scope.

License

Apache-2.0 Permissive, with a patent grant. Commercial use is allowed; keep the notices and state your changes.

More in this category

• StarTrail-org/PixelRAG
  PixelRAG renders web pages, PDFs and images as screenshots and runs retrieval over the images directly, so tables, charts and layout that HTML parsing drops stay intact. It is the official code for a research paper.
• RyanCodrai/turbovec
  A vector index written in Rust with Python bindings, built on Google Research's TurboQuant quantizer. It adds vectors without a training step, saves changes incrementally, filters by id at search time and runs fully locally.
• semantica-agi/semantica
  A Python library that ingests enterprise data, extracts key information, builds a context graph and knowledge graph, and runs graph analytics and reasoning over them. It keeps decision provenance for end-to-end traceability.
• lfnovo/open-notebook
  Open Notebook is an open-source, self-hosted alternative to Google Notebook LM. It gathers PDFs, videos, audio and web pages, searches them by full text and vectors, lets users chat with that content and generates multi-speaker podcasts.
• zvec-ai/zvec-grep
  zg is a local-first search tool that combines ripgrep, BM25 and vector search behind one interface, usable from the CLI or by an agent. It searches code, documents and structured data and returns ranked results with source locations.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.