Sf Docs Embeddings
Embedding model for San Francisco documentation
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Sf Docs Embeddings?
A package providing embeddings for San Francisco's documentation to enable retrieval-augmented generation (RAG) applications, useful for developers and data scientists working with local government data.
Key differentiator
“The only embedding model specifically designed and optimized for San Francisco's public documents, providing a unique advantage in RAG applications focused on local government data.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary language is JavaScript, with no official support for other languages like Java or C#
GitHub repository has fewer than 10 contributors and limited activity in issues and pull requests
Fit analysis
Who is it for?
✓ Best for
Teams working on projects involving San Francisco's public documents and need precise embeddings
Developers building RAG applications that require specific context from local government data
✕ Not a fit for
Projects requiring real-time streaming capabilities (batch-only architecture)
Applications needing embeddings for non-San Francisco related documentation
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with Sf Docs Embeddings
Step-by-step setup guide with code examples and common gotchas.