Best Chroma Alternatives in 2026

Weaviate is an open-source vector database that stores objects and embeddings together, enabling hybrid search, RAG pipelines, and AI agent workflows. Available self-hosted under BSD-3 license or as a managed service via Weaviate Cloud on AWS, GCP, and Azure.

Qdrant is an open-source vector search engine built in Rust by a Berlin-based team. It powers production RAG, semantic search, and recommendation systems for enterprises including Canva, HubSpot, and TripAdvisor, with Apache 2.0 licensing and flexible deployment from laptop to edge device.

Pinecone is the managed vector database that pioneered the category. It stores and queries high-dimensional embeddings at scale, powering RAG pipelines, semantic search, and AI agent memory with no infrastructure to manage.

pgvector adds vector similarity search to any PostgreSQL database. Store embeddings as native columns, query with cosine or L2 distance using plain SQL. No extra service required. Used in production by teams on Supabase, AWS RDS, GCP Cloud SQL, and Neon.

Milvus is an open-source, cloud-native vector database built for billion-scale similarity search. Backed by Zilliz and used in production by NVIDIA, Salesforce, and eBay. Free to self-host. Zilliz Cloud managed service starts free with paid tiers from $99/month.

RAGFlow is InfiniFlow's open-source enterprise RAG engine, built around a neural document parser (DeepDoc) that handles complex PDFs, tables, and mixed-layout documents. Self-hostable, Apache 2.0, with 79k+ GitHub stars.

CoreWeave is a specialized GPU cloud built for enterprise AI training and inference. With 250,000+ GPUs across 32 data centers, InfiniBand-backed clusters, and NVIDIA's latest Blackwell hardware, it powers some of the largest AI labs in the world, including OpenAI, Meta, IBM, and Microsoft.

Databricks Mosaic AI is the AI platform built into the Databricks Lakehouse, combining model training, vector search, RAG, agent orchestration, and governance for enterprises that want full control of their AI stack on proprietary data.

Weights & Biases is the standard ML experiment tracking platform used by over a million AI engineers. It covers model training workflows with W&B Models and LLM observability with W&B Weave, now under CoreWeave ownership since May 2025.

Snowflake Cortex is the AI layer built into the Snowflake Data Cloud. Data teams use it to run LLM inference, build AI agents, and deploy semantic search directly against governed Snowflake data using SQL, without moving data out of their existing security perimeter.