Alternatives to Chromadb Admin

Open-source vector database for billion-scale AI similarity search.

Open-source vector similarity search for Postgres — store embeddings with your relational data, no extra database.

Open-source distributed SQL database with vector search, ACID transactions, and HTAP for AI agent workloads.

Open-source real-time SQL analytics, full-text search, and vector database for AI.

Zvec: open-source, in-process vector database with sub-millisecond search at billion scale.

Open-source AI search platform unifying vector, text, and ML ranking for scalable applications.

Open-source, serverless vector search built on object storage that claims up to 10x lower cost.

Open-source, cloud-native data warehouse in Rust unifying analytics, vector search, and full-text search on object storage.

Open-source context retrieval layer grounding AI agents in real-time data from your apps and databases.

Open-source protocol suite for standardizing LLM, vector, graph, and embedding infrastructure.

Open-source PDF-to-vector pipeline for RAG in one command.

Open-source knowledge-graph RAG that maps entities and communities to answer complex, cross-document questions.

Fully managed vector database for fast, accurate AI retrieval at scale

Open-source RAG engine with advanced ETL, hybrid search, and visual agent orchestration for enterprise AI.

Open-source multimodal lakehouse for AI data curation, feature engineering, search, and training.

Open-source lakehouse format for multimodal AI with hybrid search.

Serverless vector database with hybrid search for GenAI apps, auto-scaled to your workload

Open-source CLI that turns 18 source types into AI skills and RAG knowledge for 22 AI platforms.

Open-source content intelligence engine for CPU-only document extraction

Open-source incremental data framework for AI agents, processing only deltas for always-fresh context.

Distributed transactional document database with vector search for AI agents on FoundationDB.

Local-first vector database for AI agents, RAG, and edge workloads.

Vespa is a distributed serving engine that unifies vector, text, and ML ranking for AI search at scale.

Fully managed vector lakebase for high-scale AI search, RAG, and recommendations.

In-memory graph database for real-time GraphRAG and AI memory

GPU-native serverless PostgreSQL with vector search for AI agents.

One universal database engine for AI, replacing 5 separate databases in a single SQL query.

Long-term memory database for AI agents built from scratch in Rust

Graph + vector persistent memory for AI agents — push JSON, get a typed, searchable graph.

Build AI apps with MongoDB Atlas—native vector search, hybrid search, and reranking in one multi-cloud data platform.