Tilores

Customer data search, unification and retrieval for LLMs

296 followers

Customer data search, unification and retrieval for LLMs

296 followers

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LLMs

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Databases and backend frameworks

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AI Databases

Data scientists connect Tilores to their LLM to search internal customer data scattered across multiple source systems. The LLM retrieves unified customer data, which is uses to answer queries or as context when querying subsequent unstructured data.

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Launch tags:Artificial Intelligence•Data•Data Science

Launch Team / Built With

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

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Supademo

🎉 Congratulations on the launch of Tilores Identity RAG! 🚀 I’ve created an interactive demo of your product using Supademo to showcase its features in action. You can check it out here: https://app.supademo.com/demo/cm... Supademo allows you to create engaging, interactive demos in minutes, and it's a great way to highlight key aspects of your product for potential users. I'd love to see this demo added to your launch page—it could help drive more engagement during your launch and beyond! Feel free to share it with your community and let us know if you’d like any updates or adjustments. Best of luck with your launch!

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1yr ago

Tilores

Maker

Thank you @vimal_kumar_rai that is a nice tool that you created there.

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1yr ago

Tilores

Maker

@vimal_kumar_rai that's pretty cool actually.

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1yr ago

Diaflow

Congrats to the Tilores team on the launch of Identity RAG! This sounds like a powerful tool for streamlining access to unified customer data. Are there any specific integrations available for different source systems to enhance data retrieval?

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1yr ago

Tilores

Maker

@vietpham there is a snowflake and webhook integration, howeverwe also provide a graphql API and a python sdk which easily integrates with most systems

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1yr ago

Tilores

Maker

@vietpham our most used integrator is actually for Snowflake. Other than that, using our GraphQL API you can connect to any data source or we can discuss building a specific connector for you for specific sources.

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1yr ago

Impressive integration with LangChain for unified customer data. This could significantly enhance AI-driven customer experiences. How do you handle data freshness and consistency when aggregating information from multiple sources in real-time?

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1yr ago

Tilores

Maker

@olia_nemirovski data can be ingested from different sources in real-time while resulting in consistent data. If you are interested in the details let’s talk

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1yr ago

Tilores

Maker

@olia_nemirovski hi Olia. Good question. The real-time data ingestion is a major feature of Tilores. Other systems might do this in batch, but Tilores will literally ingest customer data from any source via API, in real-time regardless of volume. It doesn't matter if it is 1 record per second or 1,000.

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1yr ago

Congrats on the launch! 🚀 Connecting Tilores to LLMs for unified customer data retrieval is a powerful tool for data scientists. Looking forward to seeing how it streamlines customer data management and enhances query capabilities across multiple systems!

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1yr ago

Surfsite AI

Congratulations Tilores! Data scientists can now seamlessly link LLMs to scattered internal customer data, ensuring smarter queries and better results. This is a game-changer! 💡 #AIInnovation #DataIntegration

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1yr ago

Tilores

Maker

@andreea_staicu thank you

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1yr ago

Tilores

Maker

@andreea_staicu thanks for your support.

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1yr ago

TabsMagic

Tilores really simplifies the process. I especially love the fuzzy search that corrects inaccuracies, such a smart feature. Looking forward to seeing this in action!

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1yr ago

Tilores

Maker

@flashsonic thanks Sage. People often forget about how important fuzzy search is, but it deals with the reality of real-world data - it is messy and often contains inaccuracies.

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1yr ago

Tilores

Maker

@flashsonic thanks looking forward to see you testing

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1yr ago

I'm really intrigued by Tilo’s RAG product! The ability to enhance document retrieval and generate accurate answers from various data sources sounds incredibly powerful. I love how it combines retrieval-augmented generation with AI to provide contextually relevant responses. The potential for improving decision-making processes and user experiences is fascinating. I'm especially curious about how it integrates with existing systems and the ease of implementation. This could be a game changer for businesses looking to leverage their data more effectively. I can't wait to learn more about its capabilities!

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1yr ago

Tilores

Maker

@utopiazeng that is so true

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1yr ago

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