Alternatives to Elasticsearch Labs

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

RAG API platform with hybrid search & pre-built connectors

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

ML experiment tracking and LLM development platform for teams

Automated deep learning model optimization for NVIDIA GPUs.

Free and open-source visualizer for neural network and machine learning models.

Ontology-first Graph RAG platform turning messy knowledge into reusable packs

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 vector database for billion-scale AI similarity search.

Multimodal search & retrieval API for AI agents in 100+ languages

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

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

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.

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

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

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.

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

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

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

Deploy AI-coded web apps from ChatGPT, Claude, and more with managed hosting, auth, and QA.

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

Self-hosted RAG search engine with BM25+hybrid retrieval, 34 formats, multi-LLM, security-first governance.

Agentic search model SID-1: 1.9x better recall, 24x faster retrieval.

Unified retrieval engine for high-recall AI search and RAG

A single API that combines semantic search with LLM text generation.

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

Visual, low-code platform to build, deploy, and optimize agentic AI apps on serverless edge infrastructure.