| Name | Version | Summary | date |
| aquiles-rag |
0.2.6 |
Aquiles-RAG is a high-performance Retrieval-Augmented Generation (RAG) solution built on Redis. It offers a high-level interface through FastAPI REST APIs |
2025-07-31 23:12:13 |
| egile-mcp-starter |
0.2.0 |
A comprehensive and extensible cookiecutter template system for creating Model Context Protocol (MCP) servers with plugin architecture supporting multiple templates including RAG-enabled servers |
2025-07-29 14:31:33 |
| qdrant-loader |
0.5.1 |
A tool for collecting and vectorizing technical content from multiple sources and storing it in a QDrant vector database. |
2025-07-29 06:41:31 |
| qdrant-loader-mcp-server |
0.5.1 |
A Model Context Protocol (MCP) server that provides RAG capabilities to Cursor using Qdrant. |
2025-07-29 06:41:14 |
| grizabella |
0.2.6 |
A tri-layer memory framework for LLM solutions. |
2025-07-26 21:44:13 |
| milvus-ingest |
0.1.2 |
High-performance data ingestion tool for Milvus vector database with vectorized operations |
2025-07-25 11:39:04 |
| pixeltable |
0.4.6 |
AI Data Infrastructure: Declarative, Multimodal, and Incremental |
2025-07-24 14:34:00 |
| superduper-qdrant |
0.9.5 |
SuperDuper Lance is a Python library that provides a high-level API for working with Lance vector search database. |
2025-07-23 16:35:28 |
| ai-prishtina-milvus-client |
1.0.2 |
A comprehensive, production-ready Python client library for Milvus vector database operations designed for AI and machine learning applications |
2025-07-20 19:07:19 |
| superduper-vllm |
0.9.0 |
Superduper allows users to work with self-hosted LLM models via [vLLM](https://github.com/vllm-project/vllm). |
2025-07-16 18:58:37 |
| superduper-transformers |
0.9.0 |
Transformers is a popular AI framework, and we have incorporated native support for Transformers to provide essential Large Language Model (LLM) capabilities. |
2025-07-16 18:58:23 |
| superduper-sentence-transformers |
0.9.0 |
superduper allows users to work with self-hosted embedding models via [Sentence-Transformers](https://sbert.net). |
2025-07-16 18:58:13 |
| superduper-llamacpp |
0.9.0 |
Superduper allows users to work with self-hosted LLM models via [Llama.cpp](https://github.com/ggerganov/llama.cpp). |
2025-07-16 18:58:04 |
| superduper-torch |
0.9.0 |
Superduper allows users to work with arbitrary `torch` models, with custom pre-, post-processing and input/ output data-types, as well as offering training with superduper |
2025-07-16 18:57:59 |
| superduper-sql |
0.9.0 |
`superduper_sql` is a plugin for SQL databases that allows you to use these databases as databackends for Superduper. |
2025-07-16 18:56:52 |
| superduper-sklearn |
0.9.0 |
superduper allows users to work with arbitrary sklearn estimators, with additional support for pre-, post-processing and input/ output data-types. |
2025-07-16 18:56:48 |
| superduper-lance |
0.9.0 |
SuperDuper Lance is a Python library that provides a high-level API for working with Lance vector search database. |
2025-07-16 18:56:46 |
| superduper-snowflake |
0.9.0 |
Superduper snowflake is a plugin for snowflake-framework that allows you to use Superduper as a backend for your snowflake queries. |
2025-07-16 18:56:45 |
| superduper-redis |
0.9.0 |
superduper allows users to work with arbitrary sklearn estimators, with additional support for pre-, post-processing and input/ output data-types. |
2025-07-16 18:56:44 |
| superduper-anthropic |
0.9.0 |
Superduper allows users to work with anthropic API models. The key integration is the integration of high-quality API-hosted LLM services. |
2025-07-16 18:56:43 |