Apify
import.io
Octoparse
Scrapy
ParseHub
Bright Data
Zyte
Data Miner
Qdrant
Milvus
Weaviate
pgvecto.rs
Vespa.ai
txtai
Zilliz
ElasticSearch
Apify is a JavaScript & Node.js based data extraction tool for websites that crawls lists of URLs and automates workflows on the web. With Apify you can manage and automatically scale a pool of headless Chrome / Puppeteer instances, maintain queues of URLs to crawl, store crawling results locally or in the cloud, rotate proxies and much more.
Qdrant is a leading open-source high-performance Vector Database written in Rust with extended metadata filtering support and advanced features. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications. Powering vector similarity search solutions of any scale due to a flexible architecture and low-level optimization. Qdrant is trusted and high-rated by Machine Learning and Data Science teams of top-tier companies worldwide.
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Qdrant's answer:
Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.
Qdrant's answer:
Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.
Qdrant's answer:
Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.
Based on our record, Qdrant should be more popular than Apify. It has been mentiond 40 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this article, I will walk you through everything, from crafting your initial scraping script (Actor) using the Apify SDK for TypeScript to deploying it to the Apify Actors Store for seamless data collection, and then, I will show you how to run your deployed Actor on the Apify platform. With Apify, you don't need to be a programming pro to harness the power of web scraping and start gaining insights. - Source: dev.to / 3 months ago
I am surprised nobody mentioned https://apify.com/ and they even offer discount for YC startups as ex-graduate from the YC Combinator program. - Source: Hacker News / 4 months ago
Web Scraping, Data Extraction and Automation · Apify ( https://apify.com/ ). Source: about 1 year ago
At this point of the tutorial, I'll take the opportunity to do a bit of self-promotion. I'm the COO of Apify, a cloud platform that helps you develop, run, and maintain your web scrapers easily and efficiently. It comes with tons of features like queue storages and proxies, and it supports Puppeteer without any extra configuration. You can run the above scraper, save results and control everything with a powerful... - Source: dev.to / over 1 year ago
Apify a saas that can be helpful in this situation since you can use its api to call actors from your java code. Source: over 1 year ago
Vector Databases: Qdrant for efficient data storage and retrieval. - Source: dev.to / 8 days ago
AgentCloud uses Qdrant as the vector store to efficiently store and manage large sets of vector embeddings. For a given user query the RAG application fetches relevant documents from vector store by analyzing how similar their vector representation is compared to the query vector. - Source: dev.to / about 1 month ago
Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker. - Source: dev.to / about 2 months ago
I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours. - Source: dev.to / about 2 months ago
I'm currently looking to implement locally, using QDrant [1] for instance. I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2]. [1]. https://qdrant.tech/. - Source: Hacker News / 3 months ago
import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
Weaviate - Welcome to Weaviate
Scrapy - Scrapy | A Fast and Powerful Scraping and Web Crawling Framework
pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs
