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Epsilla vs Upstash Vector

Epsilla

epsilla.com

Upstash Vector

upstash.com

Side by side

FigureEpsillaUpstash Vector
Price from$29/mo$0.40/mo
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
APIYesYes
Self-hostedYes—
Plans published54
Spec score · Vector Databases8.2 (#6)7.9 (#13)

Plans

Epsilla

  • Free TierFree
  • Starter Tier$29 a month
  • Professional Tier$249 a month
  • AI Concierge$2,499 a month
  • Enterprise TierPriced on request

Epsilla pricing →

Upstash Vector

  • FreeFree
  • Pay as You Go$0.40 a month
  • Fixed$60 a month
  • EnterprisePriced on request

Upstash Vector pricing →

In their own words

Epsilla

Epsilla is an Agent-as-a-Service platform for creating and deploying vertical AI agents without infrastructure complexity. Its drag-and-drop builder is intended for no-code agent creation, while retrieval-augmented generation connects agents to enterprise knowledge bases. Users can upload PDF, DOCX, CSV, HTML, and JSON documents from local drives, cloud drives, or web pages, then configure chat history, top-K retrieval, and metadata filtering. Management tools monitor, analyze, and optimize agents and chatbots. Multi-tenancy provides granular permissions and access controls. Deployment options include managed SaaS, on-premise installation, and private cloud, with web service APIs for custom interfaces. TokenRouter provides access to commercial and open-source models through one API key. Epsilla lists solutions for manufacturing, research management, sales and support, publishing, financial services, healthcare, and legal services. It runs as an API, self-hosted deployment, or web service. The Free Tier costs nothing; paid plans start at $29 a month, with larger tiers and an enterprise option.

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Upstash Vector

Upstash Vector is a serverless cloud vector database for applications that need vector search, including NLP, RAG, recommendations, image recognition, clustering and classification. It uses DiskANN for approximate nearest-neighbor queries and also lists FreshDiskANN as an index type. Developers can use its REST API and SDKs, with first-class Python and TypeScript support and additional SDKs for Go and PHP. Similarity options include Euclidean distance, cosine similarity and dot product. Vectors can carry metadata, and query filters can restrict matches using metadata expressions. Hybrid indexes combine dense semantic search with sparse exact-token search and fuse the results. Documented integrations include Vercel AI SDK, Flowise, LangChain, Langflow, LlamaIndex and LlamaParse. The pricing page lists a default top-k limit of 1,000, up to 48 KB of metadata and 1 MB of data per vector. The Free plan allows 10K daily queries or updates and up to 1 GB of data and metadata. Pay as You Go costs $0.40 a month, billed per 100K requests, with separate storage and bandwidth terms. Region availability varies by plan.

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