Tool overview
Unbody is listed under AI Infrastructure & MLOps AI tools.
What is Unbody?
Unbody was an open-source modular backend for multimodal knowledge ingestion, semantic search, generation, and RAG. The official repository is now archived and no longer maintained; Unbody Labs identifies Adapt as the most direct continuation of the original mission.
Best for
Teams maintaining legacy Unbody projects or evaluating its architecture
Who is it for?
Decision note
Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.
Key features
Multimodal ingestion and knowledge enhancement
Semantic and similarity search
Text, JSON, image, and video processing APIs
Docker-based local and self-hosted setup
Use cases
Maintain an existing Unbody deployment
Study an archived modular AI backend
Migrate legacy RAG workflows
Evaluate Adapt as a successor framework
Pros
- Source code and historical documentation remain accessible
- Modular knowledge-oriented architecture
- Official successor direction is documented
Limitations
Archived dependencies can develop security, compatibility, and reliability problems.
New production deployments should not depend on an unmaintained stack without ownership, patching, and migration plans.
Pricing details
Billing options
Pricing note
The archived source code can be evaluated without a published subscription fee. No current hosted Unbody plan or commercial price was confirmed; users bear infrastructure and maintenance costs.
Supported languages
- English
Integrations
Google Drive
Google Docs
Discord
Weaviate
OpenAI
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