Blue Skyline Assets

Semantic search for Federal Regulations (FAR) for AI agents

Visit Website
December 15, 2025 [Project] Built a semantic search API for Federal Acquisition Regulations (FAR) - pre-vectorized for AI agents

I built an API that provides semantic search over Federal Acquisition Regulations for GovCon AI systems and compliance bots.

What it does:

- Semantic search across 617 FAR Part 52 clauses

- Pre-vectorized with 384-dim embeddings (all-MiniLM-L6-v2)

- Returns relevant clauses with similarity scores

- Daily auto-updates from acquisition.gov

- OpenAPI spec for AI agent integration

Why it exists:

If you're building AI for government contracting, your LLM will hallucinate legal citations. A wrong FAR clause = disqualification. This solves that.

Try it free:

https://blueskylineassets.github.io/far-rag-api/honeypot/

API access (RapidAPI):

https://rapidapi.com/yschang/api/far-rag-federal-acquisition-regulation-search

Built with FastAPI + sentence-transformers. All data is public domain (17 U.S.C. § 105).

Open to feedback!

Comment

About

GovTech AIs often hallucinate regulations. This API provides pre-vectorized FAR Part 52 clauses, enabling compliant RAG systems without the need for scraping.