Epsilla vs ZeusDB Vector Database

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.

ZeusDB Vector Database is a vector database for AI workloads including semantic search, retrieval-augmented generation, and recommendations. Its free, self-hosted Open Source plan provides a Python API and approximate nearest-neighbor search with HNSW graphs. Optional Product Quantization compresses vectors for memory efficiency. Metadata filtering is supported, and indexes, metadata, and quantized vectors can be saved and reloaded. Hybrid search is listed. Published wheels support Linux x86_64 and aarch64, macOS Apple Silicon, and Windows x86_64; the package page lists Python 3.10 through 3.14. LangChain and LlamaIndex integrations are available with vector-store filtering and persistence features. Hugging Face, Anthropic, OpenAI, and Semantic Kernel integrations are in development. ZeusDB lists an Enterprise plan with managed deployment, SSO, RBAC, audit trails, encryption, automated backups and restore, observability, SLAs, and priority support. The managed enterprise edition is in development. The company says it was founded and launched its first site in 2012.