Efficient Graph Storage for Entity Resolution Using Clique-Based Compression
A space for data science professionals to engage in discussions and debates on the subject of data science.
Efficient Graph Storage for Entity Resolution Using Clique-Based Compression
News & discussion on identity resolution including topics on problems it addresses such as fraud prevention and what solutions, libraries, and tools are available.
Efficient Graph Storage for Entity Resolution Using Clique-Based Compression
Precision and Recall in Entity (Identity) Resolution
News & discussion on identity resolution including topics on problems it addresses such as fraud prevention and what solutions, libraries, and tools are available.
Berliner Immobilienkönig Ziegert meldet Insolvenz an
The bilingual subreddit for everything relating to Berlin, capital city of Germany. (Tourists and Visitors: Please read our sidebar first and consult the sticky post)
How did you get in to Blood Bowl? (results of survey)
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BVG Ticket app and N26
Welcome to AskBerliners, where you can ask Berliners almost anything.
BVG Ticket app and N26
The bilingual subreddit for everything relating to Berlin, capital city of Germany. (Tourists and Visitors: Please read our sidebar first and consult the sticky post)
The junction at Unter den Linden from Oberwallstraße to Hinter dem Gießhaus is insane (for cyclists)
The bilingual subreddit for everything relating to Berlin, capital city of Germany. (Tourists and Visitors: Please read our sidebar first and consult the sticky post)
Built a LangChain integration that solves the multi-system customer data problem (with fuzzy matching + demo)
LangChain is an open-source framework and developer toolkit that helps developers get LLM applications from prototype to production. It is available for Python and Javascript at https://www.langchain.com/.
We built a unified customer data RAG for LangChain based on entity resolution technology
A space for Enthusiasts, Developers and Researchers to discuss LLMs and their applications.
We built a unified customer data RAG for LangChain based on entity resolution technology
Welcome to r/Rag, the community for everything Retrieval-Augmented Generation (RAG)! RAG combines retrieval systems with generative models to create more accurate responses, enhancing applications like customer support and research. Join us to discuss RAG techniques, projects, and tools. Whether you're a researcher, developer, or AI enthusiast, you'll find tips, tutorials, and support to innovate with RAG!
We built a unified customer data RAG for LangChain based on entity resolution technology
LangChain is an open-source framework and developer toolkit that helps developers get LLM applications from prototype to production. It is available for Python and Javascript at https://www.langchain.com/.
How did you start playing Blood Bowl?
This is the location for your questions about Bloodbowl, either the Electronic version or the Tabletop. We can cover it all! Team Building! Strategies! Alternate Miniatures! We Are Bloodbowl!
AOK vs TK
English-language discussions related to Germany.
Is there a need for entity-based RAG?
The (unofficial) Langchain subreddit for all things Langchain and AI!
Is there a need for entity-based RAG?
LangChain is an open-source framework and developer toolkit that helps developers get LLM applications from prototype to production. It is available for Python and Javascript at https://www.langchain.com/.
Entity Resolution Challenges
News & discussion on identity resolution including topics on problems it addresses such as fraud prevention and what solutions, libraries, and tools are available.
Deduplication of US voter registrations to look for voting fraud
Freely share any project related data science content. This sub aims to promote the proliferation of open-source software. This subreddit also conserves projects from r/datascience and r/machinelearning that gets arbitrarily removed. This is not a question and answer site. This site is sponsored by https://www.ml-quant.com/
US voter registration deduplication
## A subreddit to discuss and share data and datasets. If you have questions on anything data related or have interesting datasets, tutorials or findings please do post and make yourself at home
Does the US have a duplicate voter problem?
/r/Politics is for news and discussion about U.S. politics.
How To Build and Interpret a Nomogram for Setting Better Running Goals
This subreddit is for discussion of mathematics. All posts and comments should be directly related to mathematics, including topics related to the practice, profession and community of mathematics.
How To Build and Interpret a Nomogram for Setting Better Running Goals
A space for data science professionals to engage in discussions and debates on the subject of data science.
What did you get wrong when you played as a kid?
This is the location for your questions about Bloodbowl, either the Electronic version or the Tabletop. We can cover it all! Team Building! Strategies! Alternate Miniatures! We Are Bloodbowl!
How to duplicate Google Drive folders
Discussion, questions, and news about Google Docs. Unofficial. For Google Workspace content, visit the r/googleworkspace sub.