Alternatives to Weaviate

High-performance, open-source vector search engine built in Rust for production-grade AI and machine learning workloads.

Managed vector database for building scalable, reliable, and accurate AI applications and search.

Compute and data engineering framework for turning data into vector embeddings for AI solutions.

Ground AI in enterprise data with zero ETL. Spice is an open-source SQL query & hybrid search engine built for data-intensive apps & AI agents.

Nomic AI builds tools to make AI explainable and accessible, focusing on data curation and visualization.

Open-source, high-performance vector database designed for scalable AI and machine learning applications.

AI infrastructure for building intelligent applications.

Astra DB is a cloud-native NoSQL and vector database for building generative AI applications.

An open-source TypeScript/JavaScript framework for building AI agents, from the creators of Gatsby.

A cloud database company providing a unified platform for transactional, analytical, and AI workloads.

Enterprise platform for building and deploying specialized AI agents and RAG applications.

AI Search Platform for real-time, large-scale applications combining big data, vector search, and ML inference.

AI-native search engine API for RAG and AI agents, providing factual and reliable information.

Graphwise is a graph database startup that develops an open-source graph database called GraphDB, designed to bridge the gap between raw data and actionable knowledge for AI models.

AI-powered database for visual data, enabling intelligent search and analysis of images and videos.

Zep gives AI agents enterprise-grade memory via context graphs - sub-200ms retrieval, SOC 2 compliant, validated by S&P Market Intelligence.

Develops effective, efficient, and scalable foundational legal AI models for information retrieval and document analysis.

Open-source search and analytics engine for data exploration and real-time insights.

Together AI offers an AI-native cloud platform providing high-performance inference APIs, GPU clusters, and fine-tuning capabilities for open-source AI models.