Storage and retrieval for embeddings.
Vector database (repo: qdrant/qdrant) with a managed Qdrant Cloud and a free OSS option.
Pricing: Cloud: free tier forever (single node, 0.5 vCPU / 1GB RAM / 4GB disk). Standard tier is usage-based (vCPU, memory, storage, backups, paid inference tokens, billed hourly). Premium: minimum spend. Source: qdrant.tech/pricing
Engineering note: Free tier is capped at 1GB RAM and 4GB disk and has no high availability. Paid Standard tier lists a 99.5% uptime SLA. Migration tool from OSS to Cloud is offered.
Open-source search infrastructure for AI; Chroma Cloud offers serverless vector, full-text and metadata search.
Pricing: Cloud Starter $0/mo + usage (with $5 free credits); Team $250/mo + usage; Enterprise custom. Usage: $2.50/GiB written, $0.33/GiB-month stored, $0.0075/TiB queried, $0.09/GiB returned. Source: trychroma.com/pricing
Engineering note: Pricing is purely usage-based on writes, storage, queries and egress, so estimate with their calculator. Chroma says data export is easy since it is open source.
Open-source vector database that stores objects and vectors, combining vector search with structured filtering.
Pricing: Cloud: Free plan (100k objects, 1GB memory, 10GB disk, 1 collection); Flex from $45/mo pay-as-you-go; Premium from $400/mo (contact sales). Source: weaviate.io/pricing
Engineering note: Pricing is by total vector dimensions plus storage, with compression affecting price. Hybrid search is available on all plans including free. Site notes a September 2026 price book update.
High-performance, cloud-native vector database built for scalable vector ANN search.
Pricing: not verified yet, check the tool's site
Engineering note: Described as cloud-native and built for scalable approximate nearest neighbor search.
Open-source vector similarity search for Postgres.
Pricing: not verified yet, check the tool's site
Engineering note: Runs inside Postgres, so embeddings can sit next to your relational data and use your existing database ops.
Developer-friendly OSS embedded retrieval library for multimodal AI.
Pricing: not verified yet, check the tool's site
Engineering note: Embedded library rather than a separate server, which changes the deployment model compared with Qdrant or Milvus.