Collie

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Introduction:
Collie enhances user experience with embedded search bar and indexed assets.
Added on:
May 27 2023
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Collie Product Information

What is Collie?

Collie is a web development tool that offers an embedded search bar to elevate the user experience on any website. It enables seamless search by fetching and indexing every asset on the site.

How to use Collie?

To use Collie, simply embed the provided search bar on your website or call the API directly. Once installed, Collie's automated web scraping program will visit the URLs on your site and extract content, media, and files. These assets are then added to a searchable index called Mixpeek. Users can enter their search query in the embedded search bar and receive relevant results instantly.

Collie's Core Features

Embedded search bar

Website search experience optimization

Asset fetching and indexing

Seamless search experience

Collie's Use Cases

#1

Collie is ideal for any website that wants to enhance its user experience through efficient and effective search functionality. It can be used by businesses, e-commerce platforms, content-heavy websites, and any other site that benefits from easy access to its assets and information.

FAQ from Collie

How does the Collie fetcher work?

Which content and files can get indexed?

How fast is the crawling process?

Are the extracted contents secure?

It's not working, help!!

What if I want to search non-public content?

How do I add search to my website?

How much does Collie cost?

Why a Collie?

How do I delete my files?

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Analytic of Collie

Collie Website Traffic Analysis

Visit Over Time

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0.00%
Feb 2023 - Mar 2025 All Traffic

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1:22:55

Ethan Steininger on Mixpeek and the AI Landscape - Weaviate Podcast #42!

Thank you so much for watching the 42nd episode of the Weaviate Podcast! Ethan Steininger is the founder of Mixpeek, an intelligence layer that sits on top of your S3 bucket, so you can search and analyze unstructured data at scale. Ethan has also created Collie with the headline of "Enter your website and Collie will fetch every asset, then give you an embedded search bar that wows your users". Ethan began the podcast by describing his background at MongoDB and integrating the database with full text search functionality. Ethan then presented the founding vision of Mixpeek and some of the most outstanding problems with adapting the latest AI technologies to solve business problems. This lead us to discuss a massive range of topics around the AI landscape from the Llama / Alpaca models to ChatGPT Plugins, the paradigm shift in coding and serverless GPUs. I really enjoyed speaking with Ethan about all these things, I hope you enjoy listening! We would more than happy to discuss any ideas you have with you or answer any questions, thanks again for watching! Chapters 0:00 Welcome Ethan Steininger! 0:50 Entry into Search from MongoDB 6:45 Founding Vision of Mixpeek 10:15 Data Ingestion 13:45 ChatGPT Plugins 16:25 Paradigm shift in Coding with GPT-4 18:54 Alpaca Models 22:42 Tuning LLMs with Retrieval 31:45 Adding Structure to Code Repo Search 35:06 Re-Ranking / Learning-to-Rank 43:30 AGI Monopoly 49:10 Hybrid Search! Zero-Shot + BM25 54:20 Open-Source Business 59:35 Serverless GPUs 1:11:18 Ethan’s Advice for Stress Management 1:13:00 Existential AI Fear Links: Mixpeek - https://mixpeek.com/ Collie - https://collie.ai/ An Open-Source, Personalized Generative Model Framework - https://esteininger.medium.com/an-open-source-personalized-generative-model-framework-6df865de51bf Teaching GPT-4 to write code from research papers - https://esteininger.medium.com/teaching-gpt-4-to-write-code-from-research-papers-889a880fb4f0 The Need for an AI Content Verification Layer - https://esteininger.medium.com/the-need-for-an-ai-content-verification-layer-10be9379b354 Building the ML Stack of the Future - https://esteininger.medium.com/building-the-ml-stack-of-the-future-d66c8a8b566a Vertical Integration is Key to Winning the AI Race - https://esteininger.medium.com/vertical-integration-is-key-to-winning-the-ai-race-44c8e4bd3b30

Weaviate • Vector Database
Apr 05 2023
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