Alternatives to Elasticsearch Labs

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

Weights & Biases tracks ML experiments and traces LLM apps so teams ship AI models faster

Free, open-source visualizer that renders neural network and ML model files as an interactive graph you can inspect layer by layer.

Paperspace is a cloud GPU platform from DigitalOcean offering per-second-billed NVIDIA H100, A100 and V100 instances, hosted notebooks, and managed ML training

Free open-source CLI benchmark that measures local LLM tokens-per-second throughput through Ollama and posts each run to a public results

Automated deep learning model optimization for NVIDIA GPUs.

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

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

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

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

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

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

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

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

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

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

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

ShannonBase is a MySQL 8.4-compatible open-source HTAP database that adds an in-memory column store, vector search, and in-database ML to

Databend is an open-source, cloud-native data warehouse in Rust that runs BI analytics, vector search, full-text search and geospatial on

Embedbase is a single API that combines a semantic search vector store with LLM text generation.

TopK is a unified retrieval engine that runs multi-vector, dense, sparse, regex, and metadata-filtered search in one query, billed per unit of usage.

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.

RAGatouille brings ColBERT late-interaction retrieval into any Python RAG pipeline — train, index, and search in a few lines.

Multimodal retrieval API that gives AI agents evidence, not raw search hits

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

Netlify deploys fullstack apps from AI agents, Git, or CLI on one credit-based platform.