Pulse score (60d)
0–100 composite · dailyCollecting history — comes back as pulse rolls up daily.
Vector database agents use for retrieval-augmented generation. Single-container deploy; keeps embeddings and metadata together.
Chroma (Apache-2.0) is the simplest vector DB to stand up: one container (chromadb/chroma), optional disk persistence, Python/JS clients. Query returns top-k vectors + their metadata in one call.
Who uses it: RAG app builders prototyping before deciding on a production vector store, teams that want a tiny-ops embedded store next to their main app, and agent authors building long-term memory. Alternatives in this index: Qdrant (Rust, higher throughput, filterable payloads), Milvus (production-scale, k8s-first). Chroma shines when "it needs to work in a single Compose file" matters more than peak QPS.
Collecting history — comes back as pulse rolls up daily.
Collecting history — pull snapshots started today; the chart populates over the next few days.
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