Libraries tagged by qdrant

PHP Client for Qdrant

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Low-level abstraction for storing and retrieving documents in a vector store.

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Qdrant vector store bridge for Symfony AI

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A fluent package to interact with Qdrant Vector Database

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PHP Client for Qdrant

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Simple PHP client for Qdrant vector database. Easy-to-use library for storing, searching, and managing vector embeddings in AI and machine learning applications.

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Enterprise Retrieval-Augmented Generation engine for Laravel: ingestion, parsing, chunking, embedding, vector store, retrieval, reranking, BYOK security and multi-tenancy.

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DataStore MCP — one MCP server for MySQL/MariaDB, PostgreSQL, SQLite, DuckDB, SQL Server, ClickHouse, MongoDB, Redis/Valkey, Elasticsearch/OpenSearch and Qdrant (Rust, distributed as a prebuilt binary)

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Laravel SDK for Qdrant vector database with embedders like OpenAI and Gemini

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Thin, composable Saloon connector for the Qdrant vector database

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Add embeddings functionalities to modelflow-ai.

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AI-powered text-to-query system with RAG, Neo4j, and Qdrant

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A flexible WordPress content indexer for Qdrant vector database with OpenAI embeddings, intelligent caching, and RAG capabilities using multiple LLM providers

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A vector database driver for semantic search and RAG with Qdrant, pgvector or OpenSearch from the Kipchak API Development Kit (ADK)

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