Alternatives to Trieve

Meilisearch delivers typo-tolerant search-as-you-type in under 50ms, with hybrid vector and multimodal retrieval in one engine

Open-source RAG engine with built-in ETL, hybrid search and visual AI agent orchestration

Chroma: open-source vector, full-text, regex and metadata search built on object storage.

Open-source vector search engine for filtered hybrid retrieval at production scale

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

Weaviate is an open-source AI database that combines vector search, hybrid search, and RAG with agent memory in one stack.

LanceDB is an open-source multimodal lakehouse for vector search, curation, and training on one Lance table.

CocoIndex is an open-source Python framework for incremental indexing that keeps AI agent context fresh by recomputing only changed data.

Milvus is the open-source vector database for GenAI, scaling similarity search from a pip install to billions of vectors

An open lakehouse format for multimodal AI: file format, table format, and catalog spec in one Apache-2.0 project.

Open-source, in-memory text vector database for .NET apps that adds semantic search and RAG without provisioning a vector server.

Open-source, self-hosted AI search and RAG chat you add to your site with one script tag

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

Open-source GraphRAG framework that traces every LLM answer back to nodes in an auditable knowledge graph.

Open-source, in-process vector database from Alibaba: install one package and query dense and sparse vectors locally.

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

Open embedding models for developers plus agentic drawing, code and submittal review for AEC firms

OpenCrab turns documents into versioned ontology packs that Claude, ChatGPT, Cursor and Codex query through one MCP URL.

Open ColPali models and the ViDoRe V3 benchmark for visual document retrieval you can run and evaluate yourself.

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

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

pgvector adds vector similarity search to Postgres so embeddings live next to your relational data.

Vector and full-text search built on object storage — sub-10ms warm queries at roughly 10x lower cost than compute-based vector databases.

Self-hosted vector database for AI agent memory that runs on your own hardware, on-prem, air-gapped or at the edge.

In-memory graph database for GraphRAG, persistent AI agent memory, and real-time graph analytics on one engine.

Ragie Connect syncs Google Drive, Notion, Slack, and Confluence into an agent-ready RAG context engine via API.

RushDB is a graph-native database for AI agents that introspects its own schema before every query.

MongoDB Atlas runs vector search, hybrid retrieval and reranking next to your operational data — no separate vector database.

TiDB is a MySQL-compatible distributed SQL database that unifies agent memory, transactions, analytics, and vector search in one ACID

Moss delivers sub-10ms semantic search for voice agents and AI copilots, running in-process with no vector database.