This project provides an LLM Websearch Agent using a local SearXNG server for search functionality and includes Python scripts and a bash script for interacting with an LLM to summarize search results.
Parsera is a new tool for web scraping that leverages large language models (LLMs) to make the process more straightforward and efficient. It focuses on minimizing token usage for faster processing and lower costs.
Parsera is a simple and fast Python library for scraping websites using Large Language Models (LLMs). It's designed to be lightweight and minimize token usage for speed and cost efficiency.
Reworkd is a platform that simplifies web data extraction, using LLM code generation to help businesses scale their web data pipelines. No coding skills required.
Reader helps convert any URL into content suitable for LLMs, including automatic image captioning and web search.
The API is split into two functions: 'Read' and 'Search'. Read converts any URL into content suitable for LLMs and returns the LLM-friendly data. Search allows users to input a search query and receives the top five results in a simplified format.
The API is split into two functions: 'Read' and 'Search'. Read converts any URL into content suitable for LLMs and returns the LLM-friendly data. Search allows users to input a search query and receives the top five results in a simplified format.
