Skip to content
#

hybrid-search

Star

Here are 449 public repositories matching this topic...

Language: All
Filter by language
All 449 Python 283 Jupyter Notebook 34 TypeScript 34 Rust 21 JavaScript 17 Go 9 C# 6 C++ 6 Java 5 Dart 3
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated
qdrant

qdrant / qdrant

Sponsor
Star 30.4k

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

search search-engine machine-learning neural-network nearest-neighbor-search image-search recommender-system search-engines similarity-search ai-search knn-algorithm mlops hnsw vector-search vector-database neural-search vector-search-engine embeddings-similarity hybrid-search ai-search-engine
  • Updated Apr 18, 2026
  • Rust
weaviate

weaviate / weaviate

Star 16k

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​.

search-engine information-retrieval grpc nearest-neighbor-search semantic-search-engine image-search recommender-system vectors approximate-nearest-neighbor-search semantic-search similarity-search mlops hnsw weaviate vector-search vector-database neural-search vector-search-engine hybrid-search generative-search
  • Updated Apr 17, 2026
  • Go

infiniflow / infinity

Star 4.5k

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

search-engine vector nearest-neighbor-search full-text-search approximate-nearest-neighbor-search embedding bm25 information-retrival cpp20 rag hnsw vector-search vector-database hybrid-search cpp20-modules ai-native tensor-database vectordatabase multi-vector
  • Updated Apr 17, 2026
  • C++

dingodb / dingo

Star 1.7k

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.

structured-data serving unstructured-data unified-sql vector-database mysql-compatibility hybrid-search embedding-search embedding-store key-value-distributed-store vector-ocean real-time-semantic-search
  • Updated Apr 17, 2026
  • Java

treygrainger / ai-powered-search

Star 383

The codebase for the book "AI-Powered Search" (Manning Publications, 2025)

search-engine information-retrieval ai solr question-answering learning-to-rank semantic-search personalized-search opensearch vector-search vector-database multimodal-search hybrid-search foundation-models large-language-models ai-powered-search generative-search semantic-knowledge-graphs click-models reflected-intelligence
  • Updated Apr 2, 2026
  • Jupyter Notebook

stevereiner / flexible-graphrag

Star 120

Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, REST API, MCP Server. Please 🌟 Star

python search ai neo4j mcp knowledge-graph alfresco rag hybrid-search arcadedb ai-chat llm generative-ai llamaindex falkordb llamaparse graphrag docling mcp-server doc-processing
  • Updated Apr 17, 2026
  • Python

Improve this page

Add a description, image, and links to the hybrid-search topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the hybrid-search topic, visit your repo's landing page and select "manage topics."

Learn more