Embbedings Python Packages

qdrant-loader

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

qdrant-loader-mcp-server

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

qdrant-loader-core

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

vectorizer-sdk

A high-performance, in-memory vector database written in Rust, designed for semantic search and top-k nearest neighbor queries in AI-driven applications, with binary file persistence for durability.

mcp-external-memory

An MCP server that gives LLMs persistent, searchable semantic memory

openaiunlimitedfun

A comprehensive wrapper for the OpenAI API, facilitating seamless interaction with GPT models. Features include conversation management, dynamic function execution, and tools for creating JSON schemas for function descriptions. Simplifies setting API keys and managing chat contexts for enhanced GPT-based applications.

hive-vectorizer

A high-performance, in-memory vector database written in Rust, designed for semantic search and top-k nearest neighbor queries in AI-driven applications, with binary file persistence for durability.