Name | Version | Summary | date |
llama-index-core |
0.12.7 |
Interface between LLMs and your data |
2024-12-19 03:39:56 |
vectara-agentic |
0.1.21 |
A Python package for creating AI Assistants and AI Agents with Vectara |
2024-12-19 00:57:31 |
tempestai |
0.4.7 |
Load any data in one line of code and connect with AI applications |
2024-12-16 19:29:17 |
qwen-agent |
0.0.15 |
Qwen-Agent: Enhancing LLMs with Agent Workflows, RAG, Function Calling, and Code Interpreter. |
2024-12-13 06:56:07 |
peslac |
0.1.3 |
A Python package for the Peslac API |
2024-12-12 20:07:05 |
chunknorris |
1.0.3 |
A package for chunking documents from various formats |
2024-12-12 14:03:57 |
t-ragx |
0.1.2 |
Enhancing translation with RAG-powered large language models |
2024-12-12 02:07:53 |
scrapegraphai |
1.33.3 |
A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines. |
2024-12-11 16:20:08 |
dynamiq |
0.5.2 |
Dynamiq is an orchestration framework for agentic AI and LLM applications |
2024-12-10 16:05:59 |
rerankers |
0.6.1 |
A unified API for various document re-ranking models. |
2024-12-10 07:22:02 |
llama-index |
0.12.5 |
Interface between LLMs and your data |
2024-12-09 21:31:46 |
apify-haystack |
0.1.7 |
Apify-haystack integration |
2024-12-09 15:09:57 |
ragbits-guardrails |
0.5.1 |
Guardrails module for Ragbits components |
2024-12-09 13:49:49 |
ragbits-evaluate |
0.5.1 |
Evaluation module for Ragbits components |
2024-12-09 13:49:48 |
ragbits-document-search |
0.5.1 |
Document Search module for Ragbits |
2024-12-09 13:49:47 |
ragbits-core |
0.5.1 |
Building blocks for rapid development of GenAI applications |
2024-12-09 13:49:46 |
ragbits-cli |
0.5.1 |
A CLI application for ragbits - building blocks for rapid development of GenAI applications |
2024-12-09 13:49:45 |
ragbits |
0.5.1 |
Building blocks for rapid development of GenAI applications |
2024-12-09 13:49:44 |
trag |
0.0.9 |
Simple templating and web-source retrieval utilities for RAG. |
2024-12-09 11:44:51 |
letsearch-client |
0.1.1 |
Python client for letsearch, RAG-native vector DB in a single binary to embed, index and serve your documents for search |
2024-12-09 11:00:52 |