chroma vs search

Common questions

What is the difference between chroma and search?

chroma: Search infrastructure for AI. search: Go library for embedded vector search and semantic embeddings using llama.cpp. See the comparison table for live GitHub stats and shared categories.

When should I choose chroma over search?

Choose chroma over search when chroma is primarily Rust; search is Go; License: chroma is Apache-2.0, search is MIT; Pricing: The open-source version is free to use and modify; the hosted service (Chroma Cloud) has a freemium model offering $5 of initial credits.; Requirements: Min 1 GB RAM; Tags unique to chroma: full-text-search, agents, rust, rust-lang; Also covers Data & Retrieval; - When you require a high-performance data infrastructure that can handle complex query needs for AI applications. - If your project necessitates fast, cost-effective, and scalable serverless services.

When should I choose search over chroma?

Choose search over chroma when search is primarily Go; chroma is Rust; License: search is MIT, chroma is Apache-2.0; Tags unique to search: bert, embeddings, gpu, ai; Also covers Inference & Serving.

When should I avoid chroma?

- In scenarios where a more mature or enterprise-grade solution is required, as Chroma might be rapidly evolving and not yet fully stabilized. - If your project requires extensive customization at the lower levels that the relatively new tool might not support comprehensively yet - When the specific need for an AI application does not benefit from vector, hybrid, or full-text search capabilities that Chroma excels in.

When should I avoid search?

Last GitHub push was 127 days ago (slowing maintenance, Mar 6, 2026). Validate activity before betting a new project on search. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Is chroma or search more popular on GitHub?

chroma has more GitHub stars (28,763 vs 554). Stars measure visibility, not whether either tool fits your constraints.

Are chroma and search open source?

Yes - both are open-source projects on GitHub (chroma: Apache-2.0, search: MIT).

Where can I find alternatives to chroma or search?

GraphCanon lists graph-backed alternatives at chroma alternatives and search alternatives (chroma markdown twin, search markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, chroma or search?

chroma: Very active. search: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for chroma and search?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chroma trust report; search trust report.