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Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Local Deep Research is a tool that achieves approximately 95% accuracy on the SimpleQA benchmark, with an example run using Qwen3.6-27B on an RTX 3090. It supports all local and cloud LLMs including llama.cpp, Ollama, and Google models, integrates over 10 search engines such as arXiv, PubMed, and private document sources, and operates with local and encrypted processing.
LocalGPT is an on-premise document intelligence platform that lets users chat with their documents on their local device using GPT models. It supports PDF, DOCX, HTML, Markdown, and TXT files and combines dense vector search with LanceDB full-text search and a cross-encoder reranker. It runs with a plain Python RAG core and offers generation models via Ollama.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
MPDS (Materials Platform for Data Science) is an online materials database originating from the PAULING FILE project, containing over 3 million entries of physical properties, crystal structures, and phase diagrams for inorganic materials. It offers multiple access tiers: free open access with login includes search by over 15 criteria, analysis tools, interactive plots, and access to around 50k datasheets; paid full GUI access adds detailed visualizations, data export in over 5 formats, high-quality redrawn phase diagrams, and access to around 3 million datasheets with full references and DOIs; paid API full access provides machine-readable data, regular updates, documentation and support, and OPTIMADE standard support, and includes full GUI access.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.
Search an online collection of books, documents, media and archival records.