| Name | Version | Summary | date |
| rag-retriever |
0.2.2 |
A tool for crawling, indexing, and semantically searching web content with RAG capabilities |
2025-02-21 04:07:28 |
| svs |
0.7.3 |
Stupid Vector Store (SVS): a vector database for the rest of us |
2025-02-21 02:30:42 |
| vectorize-client |
0.0.8 |
Python client for the Vectorize API |
2025-02-20 11:35:52 |
| mdb-toolkit |
1.0.0 |
Custom MongoDB client with vector search capabilities, embeddings management, and more. |
2025-02-18 03:16:57 |
| distinction |
0.0.1.1 |
A fast binary classifier using feature selection of sentence transformer embeddings. |
2025-02-17 13:41:32 |
| wdoc |
2.5.7 |
A perfect AI powered RAG for document query and summary. Supports ~all LLM and ~all filetypes (url, pdf, epub, youtube (incl playlist), audio, anki, md, docx, pptx, oe any combination!) |
2025-02-13 23:04:06 |
| chronowords |
0.1.1 |
None |
2025-02-12 14:01:45 |
| ragxo |
0.1.12 |
A RAG (Retrieval-Augmented Generation) toolkit with Milvus integration |
2025-02-09 20:02:19 |
| construct-tracker |
1.0.14 |
Track and measure constructs, concepts or categories in text documents. |
2025-01-21 22:05:22 |
| hume |
0.7.6 |
A Python SDK for Hume AI |
2025-01-15 21:09:16 |
| lightgbm_embedding |
0.2.0 |
Feature embeddings with LightGBM |
2025-01-12 11:24:35 |
| datastew |
0.4.2 |
Datastew is a python library for intelligent data harmonization using Large Language Model (LLM) vector embeddings. |
2025-01-06 08:58:26 |
| hawkins-rag |
0.1.0 |
A Python package for building RAG systems with HawkinsDB and multiple data source integrations |
2024-12-25 17:20:49 |
| init-llm |
0.1.3 |
A toolkit for initializing LLMs and embeddings with multiple providers |
2024-12-17 04:52:31 |
| yasem |
0.4.1 |
YASEM - Yet Another Splade|Sparse Embedder - A simple and efficient library for SPLADE embeddings |
2024-12-16 04:55:17 |
| gptme-rag |
0.5.0 |
RAG implementation for gptme context management |
2024-12-11 21:46:27 |
| dimensia |
0.1.3 |
Dimensia is a Python library for managing document embeddings and performing efficient similarity-based searches using various distance metrics. |
2024-11-25 08:45:24 |
| agori |
0.1.3 |
A secure working memory for agents |
2024-11-10 19:54:40 |
| lightly-train |
0.3.2 |
Train models with self-supervised learning in a single command |
2024-11-06 09:11:50 |
| ragoon |
0.0.15 |
RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡ |
2024-11-03 21:18:07 |