SigMap vs alternatives

SigMap solves the same problem as embeddings, RAG, and compressed context tools — but from a different angle. This page is a direct comparison.

SigMap vs embeddings / RAG

Embedding-based retrieval is the default mental model most developers reach for. SigMap takes the opposite approach.

	SigMap	Embeddings / RAG
Dependencies	Zero	Vector DB, embedding model, infra
Setup time	30 seconds	Hours to days
Latency per query	< 100 ms	200 ms–2 s+ (network + model)
Determinism	Always same result	Varies with model drift and index staleness
Offline / air-gapped	Yes	Rarely
Cost per query	Free	$0.01–$0.10+
Explainability	Ranked signature list	Black-box similarity score
Maintenance	None	Index rebuild on every schema change

SigMap uses TF-IDF over extracted function signatures — no vectors, no infra, no drift. The tradeoff is that it only works well with code (which is the use case).

When to use embeddings instead

If your retrieval target is free-form documentation, markdown, or natural-language artifacts rather than source code signatures, embeddings may be a better fit. SigMap is optimized for code.

SigMap vs RepoMix

RepoMix compresses files. SigMap extracts what matters and ranks by relevance.

	SigMap	RepoMix
Token reduction	97–98%	~90%
Retrieval accuracy (hit@5)	80.0%	13.6% (random-equivalent)
Query-aware context	Yes — ranked per query	No — same output every time
Dependency graph	Yes — import-aware BFS	No
Learn from usage	Yes — sigmap learn	No
Validate coverage	Yes — sigmap validate	No
Judge answer groundedness	Yes — sigmap judge	No
Works with MCP tools	Yes — 9 tools	No

The key difference: RepoMix's output is the same regardless of what you ask. SigMap's output is ranked to the specific query, which is why retrieval accuracy is 5.8× higher.

SigMap vs Copilot / IDE context window

Copilot and other AI IDEs send everything they can see in the open editors. SigMap sends only what the current query needs.

	SigMap	IDE context (Copilot, etc.)
Selection strategy	Query-ranked signatures	Recent open files
Token cost per session	~200–4,000 tokens	~8,000–80,000 tokens
Works across all editors	Yes	IDE-specific
Validates coverage	Yes	No
Judges answer groundedness	Yes	No
Reproducible	Yes	No — depends on open files
MCP-native	Yes — 9 tools	Partial

Copilot and SigMap are complementary: Copilot sends the live editor context, SigMap sends the ranked codebase map. Many teams use both.

SigMap vs manual context curation

Some teams maintain a hand-written AGENTS.md or instructions file. SigMap generates and keeps it current automatically.

	SigMap	Hand-written instructions
Keeps up with code changes	Yes — regenerates on every commit	Manual update required
Structured by module	Yes — per-module signature blocks	Usually flat text
Benchmark-tested accuracy	80.0% hit@5	Not measured
Time to set up	30 seconds	Hours

What SigMap does not replace

• Full-text search — SigMap extracts signatures, not full source. If you need to search comment text or string literals, grep is still the right tool.
• LSP / go-to-definition — SigMap is a context layer, not a language server. It does not provide hover types or jump-to-definition.
• Security scanning — SigMap redacts secrets from context output but is not a SAST tool.

Summary

Need	Best fit
Fast, accurate, zero-infra code context	SigMap
Searching prose / documentation	Embeddings
Compressing code for LLM input (no query)	RepoMix
IDE-integrated inline suggestions	Copilot / IDE plugin
Deep semantic search across heterogeneous content	RAG pipeline