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VectifyAI/OpenKB

OpenKB: Open LLM Knowledge Base observed · 2026-08-28

github.com/VectifyAI/OpenKB · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

76/100

  • Activity 93
  • Release rhythm 93
  • Longevity 10

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 3.5
  • age_days: 151
  • days_rel: 44
  • days_push: 42
  • n_releases_24m: 13

Full methodology

Adoption not part of the score

3847 stars · 413 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

OpenKB is an open-source CLI tool that compiles raw documents (PDF, Word, Markdown, HTML, and more) into a structured, interlinked wiki-style knowledge base using LLMs. It is powered by PageIndex's vectorless, reasoning-based retrieval, which uses tree indexing and agentic LLM reasoning instead of embeddings, chunking, or vector databases.

Use cases

  • build a persistent knowledge base from my pdf documents
  • query long documents without a vector database
  • turn a folder of documents into a wiki with cross-references
  • chat with my document collection using reasoning-based retrieval
  • extract entity pages for people and organizations from documents
  • create agent skills from my accumulated knowledge base
  • retrieve tables and figures from complex documents
  • replace traditional rag with vectorless document retrieval

When to choose

  • you want knowledge to compound over time instead of being re-derived on every query
  • you work with long, complex documents where chunk-based vector similarity loses context
  • you need traceable, explainable retrieval grounded in source documents
  • you want native multi-modal understanding of figures, tables, and images
  • you prefer a persistent compiled wiki over ephemeral per-query retrieval

When to avoid

  • you need low-latency similarity search over massive embedding corpora
  • you want a hosted web application rather than a CLI workflow
  • your pipeline already depends on a specific vector database stack
  • you need real-time indexing of rapidly changing data streams
  • you require a mature stable release for production-critical systems

Facets

cli-tool · maturity active

rag nlp llm-inference agent-framework search-engine documentation pdf ocr chatbot developer-tools large-language-models artificial-intelligence developer-tools python cli cross-platform knowledge-base vectorless-retrieval wiki-generation document-understanding llm-powered open-knowledge-format entity-extraction multi-modal long-documents skill-factory retrieval-augmented-generation natural-language-processing knowledge-management document-processing ai-agents

5 sources

Member repositories

RepositoryRoleHealth v2
VectifyAI/OpenKBmain76

For agents

markdown · JSON · MCP: product_card(name="VectifyAI/OpenKB")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem