Arubaito’s Post

As PARSIQ continues its development of our new on-chain data layer #ReactiveNetwork, we focus on its future adoption and usage. The fact will be that developers will be mostly using it to enhance their platforms through autonomously pulling data from multiple blockchains with Reactive Smart Contracts. How do we get developers to be interested then? When we want someone to use a tool kit (which is basically what #ReactiveNetwork is) to build something for themselves, we need to ask ourselves the following: a) Do they know the tool exist? b) Do they feel compelled (i.e. want to) use the tool? c) Is the tool easy to use and intuitive to handle? The usage rate will go up only if the answer to all three questions are "yes". 

The Graph adds INJECTIVE data indexing for on-chain access. Injective builders scale dApps with Graph protocol's substreams and subgraphs.

Hey folks, I hope you're all familiar with the RAG pipeline, where data is chunked and stored as embeddings in a VectorDB. But what happens when a chunk needs to be updated, or if we want to delete unrelated chunks? Do we need to re-chunk all the data, reprocess it, and recreate the embeddings from scratch? What if I told you that Langchain's Chroma has a feature that allows you to update or delete a chunk without needing to re-chunk or re-embed everything from the beginning? This can make your workflow much more efficient! Here's a post showing how to update or delete a chunk using Chroma as a VectorDB with the Langchain framework. In this example, I used a list of four items as data and performed operations to update and delete a chunk, avoiding the tedious task of starting over. I hope this post helps streamline your process! Happy Learning! 😊

Why Redux ? Redux got popular for a few reasons: -easy to test -unidirectional data flow makes it deterministic -state is read-only -changes are made with pure functions -huge ecosystem The problem Redux wanted to solve is predictable state updates. Knowing where and why the state changes and having a "single source of truth" can be an advantage. I personally think the biggest advantage is testability.

Did You Know? Mercury's ZephyrVM allows you to use the Soroban SDK directly in your indexing logic! This means you can work with on-chain data types as easily as in smart contracts, simplifying complex data parsing and manipulation. 🔍 Learn more:

Data Protocols: Chainlink Fees Soar, The Graph's Growth Spikes, Pyth Network Hits $1B Staked… What the onchain data says 👇 Coverage on Chainlink, The Graph, & Pyth directly in your inbox: ournetwork.xyz/latest ✅ 𝐂𝐡𝐚𝐢𝐧𝐥𝐢𝐧𝐤 𝐂𝐂𝐈𝐏 𝐮𝐬𝐚𝐠𝐞 & 𝐟𝐞𝐞𝐬 𝐡𝐚𝐯𝐞 𝐬𝐞𝐞𝐧 𝐚 𝐦𝐞𝐭𝐞𝐨𝐫𝐢𝐜 𝐫𝐢𝐬𝐞… • Fees up +311.95% month over month in March. • Requests up 953.9% in the same period. • April requests currently at 33.7k, on pace for another record-breaking month in the works. 𝐓𝐡𝐞 𝐆𝐫𝐚𝐩𝐡’𝐬 𝐪𝐮𝐞𝐫𝐲 𝐯𝐨𝐥𝐮𝐦𝐞 𝐡𝐚𝐬 𝐠𝐨𝐧𝐞 𝐮𝐩 𝐟𝐨𝐫 𝐭𝐡𝐞 𝟒𝐭𝐡 𝐜𝐨𝐧𝐬𝐞𝐜𝐮𝐭𝐢𝐯𝐞 𝐪𝐮𝐚𝐫𝐭𝐞𝐫. • The Graph crosses 1.5B+ in quarterly query volume. • Subgraph deployments are growing every quarter, up +114%. • The proportion of subgraphs deployed to L2 has increased for the past 5 quarters and was over 96% for Q1. 𝐏𝐲𝐭𝐡 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐢𝐬 𝐞𝐱𝐩𝐚𝐧𝐝𝐢𝐧𝐠 𝐢𝐭𝐬 𝐦𝐮𝐥𝐭𝐢-𝐜𝐡𝐚𝐢𝐧 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐨… • $1.1B+ in staked $PYTH, up 24.93% over the past 30 days. • $PYTH has 167k+ net stakers & 240k+ unique stakers since January. • Price up 23.19% to $0.85 from $0.69 in that same period.  • Average monthly volume is $221M. 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐫𝐞𝐚𝐝 𝐈𝐬𝐬𝐮𝐞 #𝟐𝟐𝟐: ournetwork.xyz/latest ✅ Contributors:  #Chainlink | LinkPool Chainlink #TheGraph | Ricky Esclapon The Graph #PythNetwork | Anthony Loya Pyth Network

Discover how TiDB is revolutionizing Web3 data management! XX Wallet: A pioneer in multi-chain Web3 platforms that faced a common hurdle--data management complexity. What was their game-changing move? Embracing TiDB! The TiDB Effect: 🔹 Complexity Crushed: 60% reduction by unifying Aurora, PostgreSQL, and MongoDB 🔹 Query Quantum Leap: Distributed computing turbocharges SQL performance 🔹 Real-Time Revolution: From T+1 to T+0 analytics with HTAP magic 🔹 Scaling Simplified: Effortlessly expanded to match Web3's explosive growth Sound interesting? Read more here: https://lnkd.in/gvgD6Y94 #PingCAP #TiDB #Web3Evolution #TOKEN2049 #DataInnovation

One of the most important factors to consider when evaluating a cloud-native #SIEM is ease of data ingestion and integrations. LogRhythm Axon’s API-first approach makes it easy to automatically integrate with a variety of log sources and vendors. Learn more here: https://ow.ly/aZzm50RzqEN

Learn about our upcoming native #ApacheIceberg integration: Redpanda's Iceberg Topics, which dramatically simplifies how you access your #streamingdata from common data #analytics platforms using Iceberg tables (no system migration necessary) 🧊 https://lnkd.in/erCqhJz7

Roll up, roll up! It's our latest integration announcement 📢 🎪 TRES is excited to announce our support for the Kroma Network. 🤝 Kroma is an Ethereum L2 that aims to develop a universal ZK Rollup based on the Optimism Bedrock architecture. Currently, Kroma operates as an Optimistic Rollup with ZK fault proofs, utilizing a zkEVM based on Scroll. The goal of Kroma is to eventually transition to a ZK Rollup once the generation of ZK proofs becomes more cost-efficient and faster. We've integrated all transactional data-points into our Financial Data Lake and TRES customers can now: 🎯 Get the full & accurate picture across all of their Kroma activity ⚖ Streamline Kroma financial operations like accounting, audit and reporting 🔒 Track all staking rewards and locked/unlocked fund movements 💵 Use TRES Link to map the dollar-to-dollar lifecycle of Web3 activity 🌊 Monitor transactions across 100+ supported networks Interested in learning more? Book a meeting with our team here: https://lnkd.in/eJ8PUvqc Welcome Kroma, to the ever-growing TRES Financial Data Lake! 🤝 #FDL #Web3 #kroma #kromanetwork WEMIX