# nashsu/llm_wiki

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12,563 stars · 1,517 forks · TypeScript · NOASSERTION

## Links

- GitHub: https://github.com/nashsu/llm_wiki
- awesome-repositories: https://awesome-repositories.com/repository/nashsu-llm-wiki.md

## Description

This project is an LLM knowledge base builder and personal knowledge management tool. It is a desktop application designed to transform diverse documents into a persistent, interlinked wiki through LLM analysis and incremental ingestion.

The system distinguishes itself with a knowledge graph visualizer that uses community detection algorithms to map relationships between concepts and identify topical clusters. It features a hybrid retrieval system that combines keyword matching, vector embeddings, and graph relevance to locate information.

The platform covers a wide range of capabilities including multimodal document parsing for PDF, DOCX, and web content, automated deep research for synthesizing new wiki pages, and a conversational query interface with cited references. It also includes structural analysis tools for knowledge gap analysis and wiki health linting.

The knowledge base is maintained in a directory format compatible with Obsidian vaults.

## Tags

### Content Management & Publishing

- [LLM Knowledge Base Generators](https://awesome-repositories.com/f/content-management-publishing/documentation-knowledge-management/knowledge-bases/llm-knowledge-base-generators.md) — Transforms diverse documents into a persistent interlinked wiki using LLM analysis and incremental ingestion.
- [Personal Knowledge Bases](https://awesome-repositories.com/f/content-management-publishing/documentation-knowledge-management/personal-knowledge-bases.md) — Provides a system for organizing documents and web clips into a structured wiki with automatic linking and source traceability.
- [Automated Wiki Generations](https://awesome-repositories.com/f/content-management-publishing/documentation-knowledge-management/wiki-engines/versioned-wikis/automated-wiki-generations.md) — Uses a multi-step LLM chain to build a persistent, interlinked wiki from documents while maintaining source traceability.
- [Web Article Extraction](https://awesome-repositories.com/f/content-management-publishing/web-article-extraction.md) — Includes a utility to extract clean article text and core content from web pages for automatic integration into the knowledge base. ([source](https://github.com/nashsu/llm_wiki#readme))

### Artificial Intelligence & ML

- [Cited Query Responses](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-rag-development/knowledge-base-retrieval/cited-query-responses.md) — Provides a conversational interface that retrieves answers from processed knowledge with integrated inline source citations. ([source](https://github.com/nashsu/llm_wiki#readme))
- [Analysis Ingest Pipelines](https://awesome-repositories.com/f/artificial-intelligence-ml/chain-of-thought-prompting/analysis-ingest-pipelines.md) — Utilizes a chain-of-thought analysis process to identify entities and contradictions during the knowledge base ingestion phase. ([source](https://github.com/nashsu/llm_wiki#readme))
- [Hybrid Knowledge Retrievers](https://awesome-repositories.com/f/artificial-intelligence-ml/knowledge-retrieval-tools/hybrid-knowledge-retrievers.md) — Implements a hybrid retrieval system combining keyword matching, vector embeddings, and graph relevance to locate information.
- [Knowledge Ingestion Chains](https://awesome-repositories.com/f/artificial-intelligence-ml/step-based-schedulers/step-execution-engines/multi-type-step-chains/knowledge-ingestion-chains.md) — Processes documents through separate extraction and generation phases to create structured wiki pages with strict source traceability.
- [Deep Research Execution](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-task-execution/deep-research-execution.md) — Generates optimized web search queries and synthesizes findings into new wiki pages using autonomous analytical agents. ([source](https://github.com/nashsu/llm_wiki#readme))
- [Human-in-the-Loop Systems](https://awesome-repositories.com/f/artificial-intelligence-ml/human-in-the-loop-systems.md) — Integrates human oversight into the ingestion pipeline to resolve ambiguous items flagged by the LLM. ([source](https://github.com/nashsu/llm_wiki#readme))
- [Knowledge Gap Analysis](https://awesome-repositories.com/f/artificial-intelligence-ml/knowledge-gap-analysis.md) — Provides a structural analysis tool that identifies isolated pages and surprising connections to surface research needs. ([source](https://github.com/nashsu/llm_wiki#readme))
- [Model Context Protocol Servers](https://awesome-repositories.com/f/artificial-intelligence-ml/model-context-protocol-servers.md) — Implements a local server based on the Model Context Protocol to expose internal data and tools to compatible AI clients. ([source](https://github.com/nashsu/llm_wiki#readme))

### Data & Databases

- [Graph Community Detection](https://awesome-repositories.com/f/data-databases/anomaly-detection/graph-community-detection.md) — Uses modularity-based community detection algorithms to automatically discover and group related knowledge clusters.
- [Document Parsing Engines](https://awesome-repositories.com/f/data-databases/document-parsing-engines.md) — Provides a high-fidelity parser that converts PDF, DOCX, PPTX, and XLSX files into structured Markdown. ([source](https://github.com/nashsu/llm_wiki#readme))
- [Hybrid Vector-Graph Databases](https://awesome-repositories.com/f/data-databases/hybrid-vector-graph-databases.md) — Combines vector embeddings and knowledge graph relationships to provide high-precision hybrid information retrieval.
- [Multi-Format Document Ingestion](https://awesome-repositories.com/f/data-databases/multi-format-document-ingestion.md) — Supports the ingestion and normalization of PDF, DOCX, and Markdown formats for a unified knowledge base. ([source](https://github.com/nashsu/llm_wiki#readme))
- [Hybrid Retrieval](https://awesome-repositories.com/f/data-databases/search-indexing-technologies/search-indexing/search-information-retrieval/hybrid-retrieval.md) — Implements a search pipeline combining keyword matching, vector semantic embeddings, and graph-based expansion. ([source](https://github.com/nashsu/llm_wiki#readme))
- [Semantic Search](https://awesome-repositories.com/f/data-databases/semantic-search.md) — Provides an embedding-based retrieval system for finding semantically related pages via a compatible endpoint. ([source](https://github.com/nashsu/llm_wiki#readme))
- [Web Clipping Extractors](https://awesome-repositories.com/f/data-databases/content-extraction/web-clipping-extractors.md) — Ships a browser extension for capturing specific web page segments and stripping clutter to trigger the ingestion pipeline. ([source](https://github.com/nashsu/llm_wiki#readme))
- [Automated Document Ingestion](https://awesome-repositories.com/f/data-databases/data-engineering-infrastructure/data-extraction-ingestion/document-processing-tools/automated-document-ingestion.md) — Implements a crash-resilient sequential queue for importing and transforming diverse file formats into the knowledge base.
- [Multimodal PDF Indexers](https://awesome-repositories.com/f/data-databases/semantic-search/multimodal-search/multimodal-pdf-indexers.md) — Provides a system for extracting embedded images from PDFs and using vision models to generate searchable factual captions. ([source](https://github.com/nashsu/llm_wiki#readme))

### Programming Languages & Runtimes

- [Knowledge Graph Visualizations](https://awesome-repositories.com/f/programming-languages-runtimes/programming-utilities/data-structure-type-helpers/data-structures/hierarchical-tree-structures/relationship-graph-visualizers/knowledge-graph-visualizations.md) — Provides an interactive interface for mapping relationships between concepts and visualizing the network topology of the knowledge base.

### System Administration & Monitoring

- [Cited Conversation Histories](https://awesome-repositories.com/f/system-administration-monitoring/request-history-persistence/llm-chat-history-persistence/cited-conversation-histories.md) — Offers independent chat sessions with cited references to wiki pages and the ability to archive synthesized answers. ([source](https://github.com/nashsu/llm_wiki#readme))

### Business & Productivity Software

- [Knowledge Base Visualizers](https://awesome-repositories.com/f/business-productivity-software/knowledge-management-systems/community-knowledge-bases/knowledge-base-visualizers.md) — Creates a visual map of the knowledge base based on direct links, source overlap, and type affinity. ([source](https://github.com/nashsu/llm_wiki/blob/main/README.md))
- [Community Detection Algorithms](https://awesome-repositories.com/f/business-productivity-software/knowledge-management-systems/community-knowledge-bases/knowledge-base-visualizers/community-detection-algorithms.md) — Employs a clustering algorithm to group related pages into communities to discover natural knowledge domains. ([source](https://github.com/nashsu/llm_wiki/blob/main/README.md))

### Development Tools & Productivity

- [File System Watchers](https://awesome-repositories.com/f/development-tools-productivity/file-system-watchers.md) — Provides a background service that monitors local folders to automate knowledge base updates based on file changes.

### Software Engineering & Architecture

- [Note Relationship Mappings](https://awesome-repositories.com/f/software-engineering-architecture/artifact-relationship-mapping/note-relationship-mappings.md) — Provides a graphical representation of wiki links and entity connections to visualize knowledge relationships. ([source](https://github.com/nashsu/llm_wiki#readme))
- [Filesystem Event Synchronization](https://awesome-repositories.com/f/software-engineering-architecture/software-architecture/architectural-patterns/reactive-messaging/reactive-event-driven-systems/filesystem-event-synchronization.md) — Monitors local directories for filesystem changes to automatically trigger knowledge base ingestion or cleanup.
- [AI Output Review Queues](https://awesome-repositories.com/f/software-engineering-architecture/strategic-planning-workflows/implementation-planning/human-review-gates/ai-output-review-queues.md) — Includes an asynchronous queue for users to validate and modify model-generated wiki items before they are persisted.