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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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The New GitBook
✓ verifiedFreemium
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
653K visits/mo2.9K saves
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GitLoop
✓ verifiedFree trial
AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
11K visits/mo2.7K saves
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LightOn
✓ verifiedFreemium
Production RAG API for developers: parse, extract and search documents with SOTA OCR and cited retrieval, cloud or on-prem.
29K visits/mo
Pricing
No public pricing
Free trial available
No public pricing
No public pricing
Free trial available
Starter: Free + usage (parsing €0.002/page)
Business: €149/mo + usage (100 GB storage, unlimited users)
Free trial available
Core features
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦Parse endpoint with SOTA OCR (LightOnOCR-2)
- ✦Extract endpoint for schema-based JSON
- ✦Search endpoint with hybrid retrieval and citations
- ✦MCP-native and LLM-agnostic
- ✦Workspaces and chunk-level access control
- ✦On-prem, VPC or air-gapped deployment
Use cases
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Build production RAG without a long in-house pipeline
- →OCR and structure scanned documents
- →Grounded document search with citations for agents
- →Deploy secure enterprise document intelligence
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