Alternatives to Chromadb Admin

pgvector brings open-source vector similarity search to Postgres so embeddings live next to your relational data.

Deeplake is a GPU-native database and memory layer for AI agent workloads, built by Activeloop.

Kronotop is a distributed transactional document database that gives every AI agent or tenant its own namespace with built-in vector search.

MongoDB Atlas stores vector embeddings next to operational data, so RAG apps skip the sync pipeline.

Pinecone is a managed vector database and knowledge engine for RAG, semantic search, and agent retrieval.

Open-source RAG engine with built-in ETL, hybrid vector/BM25 search and visual agent orchestration for enterprise AI agents.

Milvus is an open-source vector database for billion-scale similarity search, hybrid retrieval, and lake-native RAG workloads

Zilliz Cloud: a fully managed vector database on Milvus for billion-scale AI search, RAG, and recommendations.

TiDB is a distributed SQL database for AI agents that unifies ACID transactions, HTAP analytics, and native vector search in one engine.

Zilliz Cloud Serverless is a managed serverless vector database on Milvus, with auto-scaling compute and tiered storage for GenAI apps.

Memgraph is an in-memory graph database for GraphRAG, AI memory, and real-time graph analytics on one engine.

Elasticsearch Labs: free tutorials, notebooks, and reference apps for AI search, vector search, and RAG on Elasticsearch.

Open-source in-process vector database from Alibaba — install one Python package, query millions of vectors in seconds.

InterLock is a proxy that authorizes, redacts, and audits every request your AI agents make to production databases, files, and APIs.

Run LLM inference, embeddings, and ML training directly inside PostgreSQL using SQL functions, or use the Korvus SDK for RAG pipelines.

NodeDB is a universal database engine that unifies vector, graph, document, columnar, key-value, full-text, sparse arrays, and CRDT in one binary over plain

AI-native graph database running vector similarity and OpenCypher traversal in one query for GraphRAG pipelines.

Powabase is a managed Postgres backend for AI apps with RAG, agents, and workflows built in.

Long-term memory for AI agents: one process_turn call stores each turn and returns the memories your next prompt needs.

Open-source context retrieval layer that syncs your apps and databases so AI agents query live business data in natural language.

LitePali is a small open-source Python library for image-based document retrieval built on the ColPali architecture.

Open-source wire protocol suite that standardizes LLM, vector, graph, and embedding calls so you swap providers in config, not code

Multimodal retrieval that indexes video, image, audio and PDF files straight from your S3, GCS or R2 bucket.

Open-source Microsoft Research RAG that builds a knowledge graph and community summaries from your documents, then queries them in four modes.

Vespa is an open-source AI search platform for hybrid vector, text, and tensor retrieval with machine-learned ranking.

LanceDB is an open-source multimodal lakehouse that keeps curation, feature engineering, hybrid search, and training on one Lance table.

Vespa AI is an open-source AI search platform for hybrid vector, text and structured retrieval with ML ranking in one query pass.

Apache 2.0 search infrastructure for AI that keeps vectors, indexes and metadata on cheap object storage.

Apache Doris unifies OLAP analytics, full-text search, and vector search in one open-source SQL engine.

Lance is an open lakehouse format for multimodal AI, pairing a file format, table format, and catalog spec with hybrid vector and full-text search on object