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hybrid-search

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weaviate

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

  • Updated Nov 28, 2025
  • Go

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

  • Updated Nov 28, 2025
  • C++

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.

  • Updated Nov 28, 2025
  • Java

Flexible GraphRAG: Python, LlamaIndex, Docker Compose 8 Graph databases, 10 Vector databases, OpenSearch, Elasticsearch, Alfresco. 13 data sources, knowledge graph auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, MCP Server. Please 🌟 Star

  • Updated Nov 26, 2025
  • Python

The Tiledesk Automation Engine: Your open-source solution for multichannel workflow automation. An alternative to Voiceflow, Botpress, Stack AI, Flowise, Gumloop, VectorShift, Lyzr AI

  • Updated Nov 27, 2025
  • JavaScript

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