Tenets vs Voyage AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionTenetsVoyage AI
PricingFree (open-source)Contact sales (custom pricing)
Primary Use CaseLocal code context for AI coding assistantsEnterprise RAG with domain-specific embeddings
Key FeatureMulti-factor NLP ranking + MCP serverDomain-adapted models for finance, legal, code
Data Privacy100% local processingSOC 2 / HIPAA compliant cloud
IntegrationsCursor, Claude Desktop, WindsurfAny vector database / LLM
Latest NewsBlog posts on MCP and context importance (Dec 2024)Announced Voyage 4 series and multimodal model

Voyage AI is the clear choice for enterprises building domain-specific RAG pipelines that require high accuracy on finance, legal, or code data, with long-context embeddings and HIPAA/SOC 2 compliance. Tenets is ideal for privacy-conscious developers using AI coding assistants like Cursor or Claude Desktop, offering a free, open-source tool that improves context selection locally without cloud dependencies. Choose Voyage for retrieval scale and compliance; choose Tenets for code-level AI assistance and full data sovereignty.

Try TenetsTry Voyage AI
Tenets
Tenets

Free, local MCP server that uses NLP ranking to feed your AI coding assistant the right files instead of raw filesystem access.

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Voyage AI
Voyage AI

Voyage AI delivers domain-tuned embedding models and rerankers for high-precision RAG retrieval

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Pricing
Free
Paid
Plans
$0/mo
Consumption-based pricing (rates not published on page)
Popularity
8 views
7.4k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
DesktopCLIPlugin
WebAPI
Categories
🔌 MCP Servers & Agent Tooling💻 Code & Development
🗄️ Vector Databases & Retrieval
Features
Multi-factor NLP code ranking (BM25, TF-IDF, keyword extraction, import graphs, Git signals)
Native MCP server for Cursor, Claude Desktop, and Windsurf
Local processing with no cloud API calls and no API keys for core ranking
Open-source CLI plus Python library via pip install tenets[mcp]
Optional local semantic embeddings and transformers via the tenets[ml] extra
Token-budget-aware packing with model-specific token counting for GPT-4, Claude, and Llama
Rules-based and ML summarizers built in; LLM summaries only with provider API keys enabled
Persistent sessions with context branching and local SQLite storage
Guiding principles (tenets) injection with priority and category to prevent LLM drift
Cyclomatic, cognitive, and Halstead complexity metrics
Maintainability index and code health scoring
Technical debt tracking and test coverage analysis
Anti-pattern and best-practice pattern detection
Team velocity, contributor ownership, and hotspot analysis from Git history
Interactive D3.js dependency graph visualization exported to HTML
General-purpose embedding models including voyage-3.5 and voyage-3.5 lite
Domain-specific embedding models optimized for finance, legal, and code
Company-specific fine-tuned embedding models on proprietary data
Voyage 4 model series for improved retrieval quality
voyage-multimodal-3.5 embeds images and text in one retrieval pipeline
Low-dimensional embeddings (3x-8x shorter vectors) cut storage and search costs
32K-token long-context support for embedding long documents
rerank-2.5 and rerank-2.5-lite add instruction-following to ranking
voyage-context-3 keeps chunk-level detail with global document context
Batch API for large-scale embedding workloads
4x smaller model with faster inference and superior accuracy
2x cheaper inference with superior accuracy
Plug-and-play with any vectorDB and any LLM
SOC 2 and HIPAA compliance
Deploy on major clouds, in-VPC customer tenants, or on-premise with model licensing
Integrations
Cursor
Claude Desktop
Windsurf

What real users say: Tenets vs Voyage AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Tenets

No verifiable community signal. We scanned public discussion on Jul 3, 2026 and found posts matching the name “Tenets”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Voyage AI

64 mentions across 6 sources · 54% positive — mixed (weighted across 6 sources)

Hacker News, YouTube, App Store, Stack Overflow, GitHub, Lemmy

What users praise

  • • Domain-tuned legal and finance embedders cut irrelevant docs by 25% in the Harvey case
  • • 3x-8x shorter vectors materially cut vectorDB storage and search costs
  • • rerank-2.5 instruction following lets you steer ranking behavior in plain language
  • • voyage-multimodal-3.5 handles images and text in a single retrieval pipeline

What frustrates them

  • • Default terms train on API customer data with a perpetual, irrevocable license grant
  • • Per-million-token pricing gets expensive fast for high-frequency agent RAG pipelines
  • • A small Jina model reportedly beat Voyage on retrieval in one public benchmark
  • • Open-source ecosystem still thin — Python library has only 114 GitHub stars

Researched Oct 7, 2026

Who should pick which

  • Enterprise data team building RAG for legal documents
    Pick: Voyage AI

    Voyage AI offers domain-specific legal embeddings and rerankers, long-context support, and HIPAA/SOC 2 compliance required for legal data.

  • Solo developer using Cursor AI for coding
    Pick: Tenets

    Tenets integrates directly with Cursor via MCP, provides local file ranking (BM25, import graphs), and is free, fitting a single developer's workflow.

  • Privacy-conscious team at a startup
    Pick: Tenets

    Tenets runs 100% locally with no data exfiltration, ideal for teams that cannot or will not use cloud services for code analysis.

  • Finance firm needing multimodal document retrieval
    Pick: Voyage AI

    Voyage's forthcoming voyage-multimodal-3.5 and existing finance-specific embeddings make it suited for mixed image/text documents in finance.

  • Developer wanting to enforce coding principles in AI workflows
    Pick: Tenets

    Tenets' 'tenets' feature allows defining guiding principles that the AI assistant uses, directly supporting principle-driven development.

Frequently Asked Questions

Tenets vs Voyage AI: which should you choose?

Voyage AI is the clear choice for enterprises building domain-specific RAG pipelines that require high accuracy on finance, legal, or code data, with long-context embeddings and HIPAA/SOC 2 compliance. Tenets is ideal for privacy-conscious developers using AI coding assistants like Cursor or Claude Desktop, offering a free, open-source tool that improves context selection locally without cloud dependencies. Choose Voyage for retrieval scale and compliance; choose Tenets for code-level AI assistance and full data sovereignty.

Can Voyage AI run locally?

No, Voyage AI is cloud-based; it does not offer self-hosted or local deployment.

Is Tenets suitable for non-coding tasks?

No, Tenets is specifically designed for code context; it does not support general document retrieval.

Does Voyage AI have a free tier?

No, Voyage AI requires contacting sales for pricing; there is no free tier or free trial documented.

Can Tenets integrate with VS Code?

Tenets integrates with Cursor, Claude Desktop, and Windsurf via MCP; VS Code integration is not explicitly mentioned.

What context window does Voyage AI support?

Voyage AI supports up to 32K tokens for its embedding models.

Does Tenets require an internet connection?

No, Tenets processes everything locally with no data leaving your machine.

Which tool supports multimodal retrieval?

Voyage AI announced voyage-multimodal-3.5; Tenets is text-only.

Which tool is better for large-scale batch processing?

Voyage AI offers a Batch API for large-scale workloads; Tenets is not designed for batch processing.

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Explore each tool further

Tenets
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Last reviewed: July 3, 2026