Alternatives to Ragie Connect

Open-source multimodal AI lakehouse format with hybrid search and 100x faster random access.

Free tutorials, notebooks, and sample apps for building AI search on Elasticsearch

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

Production-grade multilingual NLP toolkit with 300+ Chinese/English models and 104 language support.

Ontology-first Graph RAG platform that turns messy knowledge into reusable packs

Unified analytics, search, and AI on your object store, built in Rust.

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

Multimodal video search API: find any scene by description in your object storage.

Open-source vector database for billion-scale AI similarity search.

Unified multimodal retrieval API with sub-200ms search, agentic search, and listwise reranking.

Open-source AI search engine uniting vector, text, and ML ranking at scale.

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

Open-source vector similarity search for Postgres — add embeddings to your existing database.

Vespa is an open-source AI search platform that unifies vector, text, and machine-learned ranking at scale.

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

Open-source serverless vector search that's up to 10x cheaper

AI-native distributed SQL database with vector search, ACID, and HTAP for agentic workloads.

Open-source real-time SQL analytics, full-text search, and vector database for AI.

In-memory graph database for real-time GraphRAG, AI memory, and connected analytics.

Open-source context intelligence layer for LLM agents: persistent memory, semantic dedup, and context compression.

Open-source, in-process vector database by Alibaba with sub-millisecond search at billion scale

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

Open-source incremental data framework for AI agents, processing only deltas for always-fresh context.

Free, open-source Python library for classic NLP—tokenization, tagging, parsing, and 50+ corpora, built for teaching and prototyping.

Unified retrieval engine for accuracy-critical AI search and RAG

Agentic search model with 1.9x recall and 24x faster retrieval than embeddings.

Open-source context retrieval layer for AI agents and RAG pipelines.

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

MongoDB Atlas: build and scale AI apps with native vector search in a multi-cloud developer data platform.

Distributed transactional document database with vector search for AI agents.