Wikidata

A query service associated with Wikidata that was described in the videos as being used by OpenAI agents. The videos reported that it received hundreds of thousands of requests from those agents and may have contributed to a partial shutdown.

WeKnora is an open-source, LLM-powered knowledge platform from Tencent for turning documents into queryable knowledge bases, retrieval-augmented Q&A, autonomous reasoning workflows, and self-maintaining Markdown wikis. It supports RAG-based quick Q&A and a ReAct agent that orchestrates retrieval, MCP tools, sandbox skills, and web search for multi-step tasks. Its Wiki Mode distills source documents into structured, interlinked Markdown pages with an interactive knowledge graph, manual editing, revision history, line-level diffs, and rollback. The platform ingests formats including PDF, Word, Markdown, HTML, images, spreadsheets, presentations, and XMind, and can synchronize sources such as Feishu, GitLab, Tencent IMA, Notion, Yuque, and RSS. Its modular pipeline supports interchangeable parsers, LLMs, embedding providers, vector databases, and storage backends, with dense, sparse, hybrid, parent-child, and graph-based retrieval strategies. WeKnora provides a web interface, REST API, command-line client, MCP server, website embed widget, and integrations with messaging channels. It can be deployed locally, with Docker, or on Kubernetes, including private and offline deployments. The repository states that it is licensed under the MIT License and supports workspace RBAC, scoped API keys, audit logs, and Langfuse-based observability.

Utopia is a self-hosted enterprise knowledge platform from DeepLethe, implemented as a Rust binary with a PostgreSQL service using pgvector. It ingests documents and synchronized web, RSS, GitHub, and Jira sources, then combines Tantivy full-text search with pgvector retrieval through reciprocal-rank fusion; its chat answers include inline citations linking to source passages and can use OpenAI-compatible endpoints. Its knowledge model is a bitemporal graph: extracted entities and facts retain validity intervals, evidence, and revision history, so corrections link new facts to closed versions instead of overwriting them. An editable ontology drives three-stage entity resolution, temporal Datalog forward-chaining, provenance-preserving derivation, conflict detection, and ontology-driven queries over mounted PostgreSQL databases. Low-confidence extractions, entity-merge candidates, and cardinality conflicts enter a review queue, while decisions such as confirmations, rejections, merges, and graph rebuilds are recorded in a queryable ledger. The application includes a browser console, graph browser, ontology workbench, and multi-user knowledge-base permissions, and can be deployed offline with Docker. The repository identifies the project as version 0.1 and licenses it under Apache-2.0.

Wikipedia is a free, multilingual online encyclopedia created and edited by volunteers and hosted by the Wikimedia Foundation. It provides general-reference articles and factual information across many subjects, including science, history, and zoology.

LLM Wiki is a cross-platform desktop application maintained by nash_su that turns imported documents into a persistent, organized, interlinked knowledge base. It uses a three-layer structure of immutable raw sources, LLM-generated wiki pages, and configuration rules, with ingest, query, and lint operations; generated pages use YAML frontmatter, source traceability, an index, an operation log, and [[wikilink]] cross-references. Its ingest pipeline first analyzes each source for entities, concepts, connections, contradictions, and recommended structure, then generates or updates wiki pages, summaries, indexes, research queries, and human-review items. SHA256 caching skips unchanged files, while a persistent queue supports serialized processing, retries, cancellation, and crash recovery. It accepts PDFs, Office documents, EPUB/MOBI, Org mode, images, media, web clips, and URL batches, with optional vision-based image captions and MinerU processing for complex PDFs. Retrieval combines tokenized keyword search, optional LanceDB vector search through OpenAI-compatible embedding endpoints, and graph expansion based on direct links, shared sources, Adamic-Adar similarity, and page-type affinity. The application also provides Louvain community detection, graph insights, deep research through Tavily, SerpApi, or SearXNG, a Rust tool-using chat agent, review workflows, Mermaid and KaTeX rendering, a Chrome web clipper, and project export/import. It includes a token-protected local HTTP API and MCP server for searching, reading files, traversing the graph, rescanning sources, and calling the backend agent. The application is built with Tauri v2, React, TypeScript, and Rust, has macOS, Windows, and Linux builds, and is licensed under GPL-3.0.