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Epsilla review

Freemium#19 of 27 in Vector Databases

A flexible RAG and agent platform for small teams that need search and self-hosting.

7.5/10Editor score
Epsilla7.5 Visit Epsilla

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Epsilla combines an open-source vector database with a managed platform for building domain-specific AI agents around private data. It is aimed at small teams developing retrieval-augmented generation applications, knowledge bases, and no-code agents. EpsillaDB provides vector similarity search, metadata filtering, hybrid search across dense and sparse vectors, automatic embedding generation, REST API access, and clients for Python, JavaScript, and Ruby. The platform is available through the web, API, and Docker-based self-hosting.

The published plans show a usable free starting point: Free Tier includes 1 team member, 1 project, 1 AI application, 1 knowledge base, 10M vector storage, and 50 messages per month. Starter Tier costs $29 per month and expands access to 2 team members, 5 AI applications, 5 knowledge bases, 1G vector storage, and 500 messages per month. Professional Tier costs $249 per month and includes 20 team members, 10 projects, 50 AI applications, 50 knowledge bases, 10G vector storage, and 5,000 messages per month. AI Concierge costs $2,499 per month and adds a fractional forward deployed AI engineer, done-for-you agent and workflow build-out, and custom integration support. Enterprise Tier adds unlimited team members, projects, AI applications, knowledge bases, and vector storage, alongside on-prem deployment options.

Epsilla fits teams that want search infrastructure and agent-building features in one product, with LangChain and LlamaIndex integrations supporting common RAG workflows. Automatic embeddings and no-code agent building can reduce the number of separate components required for an application. Self-hosting is relevant for teams that need Docker-based deployment, while enterprise customers can choose on-prem options. The trade-off is that the product’s scope is centered on vector search, RAG, and agents rather than a broader application platform. Choose Epsilla for a compact path from private data to AI applications; consider another option if your requirements exceed its stated platform focus or tier limits.

Epsilla pros and cons

  • Where it wins
    • Hybrid dense-and-sparse search with metadata filtering
    • Docker self-hosting plus managed cloud deployment
    • LangChain, LlamaIndex, REST, Python, JavaScript, and Ruby support
  • Where it doesn't
    • Free Tier is limited to 1 team member and 50 messages monthly
    • Starter Tier includes 1G vector storage and 500 messages monthly
    • Advanced capacity and on-prem options require higher-tier plans

Epsilla fact sheet, pricing and score →

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