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Vectorize

Vectorize

Build RAG pipelines that are optimized for your data.

5.0
•4 reviews•

556 followers

Build RAG pipelines that are optimized for your data.

5.0
•4 reviews•

556 followers

Visit website
No-code platforms
•
Data analysis tools
•
Databases and backend frameworks
Vectorize is a data platform for retrieval augmented generation (RAG). It combines RAG evaluation to identify the best way to vectorize your data with a cloud-scale RAG pipeline engine. Vectorize populates your vector database and keeps your vector data fresh.
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  • Reviews4
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Company Info
vectorize.ioGitHub
Vectorize Info
Launched in 2024View 1 launch
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p/vectorize
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Launch tags:
SaaS•Developer Tools•Data
Launch Team / Built With
Chris LatimerChris BartholomewNicoló Boschi
Groq Chat
Vercel
Maple

What do you think? …

Chris Latimer
Chris Latimer
Vectorize

Vectorize

Maker
📌
Hi Product Hunters! 🏹 I’m excited to introduce Vectorize, a cloud data integration platform designed to make building AI apps faster and with less hassle. We solve the tough, annoying parts of implementing Retrieval-Augmented Generation (RAG) applications so you can focus on the fun parts of AI development. Here’s how: 🔄 Automate Data Extraction: Seamlessly pull data from documents, SaaS platforms, and more. Forget manual data wrangling—we take care of it. 🗂️ Source Connectors: Connect to a variety of sources, including Amazon S3, Azure Blob Storage, Confluence, Discord, Dropbox, Google Drive, Google Cloud Storage, Intercom, and more. 📊 Vector Databases: Supports integrations with Astra DB, Couchbase Capella, Elastic Cloud, and Pinecone 🧪 RAG Evaluation: Automatically test and find the best vectorization strategy for your unique data. Instead of writing throw-away code to try different embedding models, let us handle it for you. ⚡ Real-Time RAG Pipelines: Keep your vector indexes fresh and up-to-date. We take care of data ingestion issues like error handling, retries, and back-pressure so you don’t have to spend time troubleshooting. ⏱️ Accelerate AI Development: From concept to deployment, we help you move faster by automating the difficult parts of RAG implementation. Your vector indexes will stay current without the constant manual upkeep. 🎯 Stay Accurate & Relevant: We ensure your data is always fresh and your AI stays accurate. You’ll have real-time visibility into your vector data and know exactly what’s being processed. 💸 Cost-Effective: We offer a forever free tier for developers, and as your needs grow, our pricing scales affordably with you. 📈 Scalable & Flexible: Whether you’re a startup or an enterprise, Vectorize adapts to your needs. It integrates with your existing vector database, so you maintain full control over your data. I hope you will give us a try. If you do, I’d love to hear your feedback here in the comments! Chris Latimer Co-Founder & CEO, Vectorize
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9mo ago
Contact Umair
Contact Umair
@chrislatimer Congrats on launching Vectorize. Great job.
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9mo ago
Alex O
Alex O
Looks really easy to use. Just one question, how can I use the vectorized data by a different application?
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9mo ago
Chris Latimer
Chris Latimer
Vectorize

Vectorize

Maker
@alexo_125 You can either query your vector database directly or we offer an API endpoint to retrieve data that includes some built in features to help simplify your RAG application. The API provides built-in reranking and will vectorize your input query for you so you don't have to worry about those things in your app.
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9mo ago
Huzaifa Shoukat
Huzaifa Shoukat
Huge congrats to the Vectorize team on today's launch! I'm intrigued by the promise of optimized RAG pipelines tailored to specific data. Quick question: How do you handle scenarios where the underlying data structures or schemas are constantly evolving - does Vectorize's auto-vectorization adapt to these changes in real-time?
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9mo ago
Chris Latimer
Chris Latimer
Vectorize

Vectorize

Maker
@ihuzaifashoukat We primarily work with unstructured data so the data we're ingesting so there's not usually a schema involved.
Report
9mo ago
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Do you use Vectorize?

5.0
Based on 4 reviews
Review Vectorize?
Reviews
Helpful
Venkat L
Venkat L
•1 review
Vectotize helped FamilyCloud to get the private Beta out in a matter of weeks. It provides a very key service out of the box to FamilyCloud, i.e helps vectorise data from our proprietary datastore at realtime and optimises this process of vectorisation which in turn enables our users retrieve the best responses from their own data. Vectorize also sets us for two important aspects - 1. the ability to connect to different data sources (in our case, other cloud solutions like GDrive/DropBox etc.) and 2. the ability scale our RAG pipeline OOTB. I would highly recommend leveraging Vectorize if you are working on a scalable RAG application. They will get you to market quickly, set you up for scaling and the Vectorize team (Chris Latimer and Chris Bartholomew) are great partners. - Venkat (Founder,CEO : FamilyCloud.AI)
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9mo ago
Chris Latimer
Chris Latimer
Vectorize

Vectorize

Thanks for writing a review. It's been great to work with you and the FamilyCloud team!
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9mo ago
mukundhan
mukundhan
•2 reviews
"Vectorize.io is an exceptional platform for modern data management and integration, offering businesses a highly efficient way to utilize their unstructured data through AI. With the rise of retrieval-augmented generation (RAG) applications, Vectorize.io provides seamless data connectivity with large language models (LLMs), optimizing search functions, enhancing customer service, and streamlining content creation. One of its standout features is the ease with which it transforms complex data into vectorized, searchable formats, making it accessible for any organization regardless of technical expertise. Vectorize.io’s user-friendly interface and intelligent design empower companies to fully leverage their data assets. As a result, it’s an invaluable tool for staying competitive in today’s AI-driven market landscape."
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9mo ago
Anusa Das
Anusa Das
•2 reviews
Thanks for launching vectorize.. It is really easy to use..
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9mo ago