Alternatives to Actian VectorAI DB

Fully managed vector database and knowledge platform for AI retrieval, with Pinecone Nexus compiling enterprise data into governed knowledge for agent queries.

Open-source distributed SQL database unifying transactions, HTAP analytics, and native vector search for AI agents.

Deeplake is the GPU database for AI agent workloads — serverless Postgres with GPU-accelerated vector search built for agents.

Self-hosted node software for the OriginTrail Decentralized Knowledge Graph — verifiable, AI-ready memory that your agents own.

TopK is a unified retrieval engine — search, multi-vector models, and inference in one API for high-recall RAG and agent memory at billion-document scale.

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

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

Open-source vector database for billion-scale similarity search, hybrid retrieval, and RAG

Apache Doris: an open-source real-time SQL database that unifies OLAP analytics, full-text search, and vector search in one engine.

Serverless vector database on Milvus with auto-scaling compute and usage-based billing for GenAI apps

In-memory graph database that supplies structured context to AI systems and runs real-time graph analytics on the same engine.

API-first document parsing that turns PDFs, spreadsheets, and slides into source-linked structured JSON for AI agents and RAG pipelines.

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

Data-access runtime that sits between your AI agents and your databases, files, and APIs — caching, redacting, and gating writes.

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

NodeDB fuses vector search, graph, document, columnar, key-value, full-text, sparse array, and CRDT into one universal database engine

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

OpenCrab is an ontology-first Graph RAG platform that turns documents into reusable, traceable knowledge packs

Open-source context retrieval layer that syncs your apps and databases and answers AI agent queries with grounded, real-time data.

Open-source RAG engine with built-in ETL, hybrid search and agentic retrieval for enterprise AI agents.

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 distributed search and AI platform that unifies vector, text, and structured retrieval with machine-learned ranking in one engine.

pgvector adds open-source vector similarity search to Postgres so you keep embeddings next to your relational data.

Vespa AI is an open-source, distributed search and serving engine that runs vector, text, and structured retrieval with machine-learned ranking in the same

Fully managed vector lakebase for billion-scale AI search, RAG, and recommendations, built on open-source Milvus.

Open-source search infrastructure for AI that keeps vectors, metadata and indexes on cheap object storage.

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

Open-source CLI that converts 18 source types — docs, repos, PDFs, videos, wikis — into AI skills and RAG knowledge for 22 platforms.

Free MIT-licensed web admin UI for the Chroma embedding database, built with Next.js

Open-source Python framework that incrementally keeps AI agent context fresh by reprocessing only changed data.