Alternatives to Chroma

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

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

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.

Multimodal video search API: find any scene by description in your object storage.

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.

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

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

Free open-source admin UI for ChromaDB vector database

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

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.

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.

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.

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

RAG API platform with hybrid search & pre-built connectors

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

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

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

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

Serverless Postgres with branching, autoscaling, and a full backend for apps and agents.

Practical guides and code for building AI search with Elasticsearch.