LanceDB

Our team just picked up another incredible superstar! ?

?? ?????????? ???????????????????? ???????????????? ?????????????? ?????????? ?????????? ?????????????????? ?? This example demonstrates the Email Agent, which reads unread emails, drafts responses for policy-related ones, and creates regular drafts for others. It proofreads drafts, requests redrafts if needed, and sends the final reply after human review. #Langgraph is used to create #Agentic RAG. ??? Check the workflow in image attached ?? Notebook - https://lnkd.in/guVPBAbi ?? Blog - https://lnkd.in/gSXJc62H Star ?? LanceDB recipes to keep yourself updated - https://lnkd.in/dvmfDFed #langgraph #agent #agenticrag #email #vectordb

??If you think #Lance #format v2.0 was magic, wait till you see #Lance 2.1 ?? Here's the lessons we learned from v2.0, and a preview of v2.1 beta. We are achieving faster full scans than #parquet, and gained support for storing large binary data like audio, image, and video. ?? Buckle up, and read on the preview engineering blog by Weston Pace https://lnkd.in/gNgP7czZ

?? I promised to bring back the SF AI and Data Engineering #Meetup (formerly?Spark and Friends), and I’m thrilled to keep that promise! It’s an honor to welcome?Chang She CEO and Co-founder of?LanceDB, to our next meetup. He’ll be presenting: "Search, Retrieval, Training, and Analytics with Modern AI Data Lake" See event page for full details of this fabulous talk. ???Spots are limited and demand is high for this in person event, so RSVP soon to save your seat! https://lu.ma/rpbg4xp8 #SanFrancisco #AI #ArtificialIntelligence #ML #MachineLearning #Data #DataEngineering #Database #RAG #Search #VectorDB cc Jasmine Wang Lei Xu

?? ???? ???????????? ???????????????? ?????????? ???????????? ???????????? This example demonstrates AI Trends Searcher using?CrewAI Agents. CrewAI is well-known framework for creating Agents and assigning them tasks for managing what they do, and help them work together by sharing tasks. CrewAI agents utilizes #News #API to gather trends, stores curated trends into LanceDB, and then using another agents creates a report of trending news in field of AI. ?? Notebook - https://lnkd.in/gaw4QQrt This example can be very easily modified for other fields other than finding trends in AI. Star ?? LanceDB recipes to keep yourself updated - https://lnkd.in/dvmfDFed #agents #crewai #vectordb #lancedb #search Tony Kipkemboi Jo?o (Joe) Moura

????????? ???????? ???????? ????????-?????????? ?????????????????? ?????????? This article explains what #GRPO is, how to fine-tune the model, and how to use it in RAG to build an efficient system that provides accurate, logical, and up-to-date responses. This approach is ideal for complex scenarios where fast data retrieval and smart reasoning are essential for delivering high-quality answers. ?? Detailed Article - https://lnkd.in/gRYuf5j7 Star ?? LanceDB recipes to keep yourself updated - https://lnkd.in/dvmfDFed #grpo #rag #finetuning #vectordb

Understand GRPO Equation -> Map it to Code -> Fine Tune a small model on single Colab using LoRA -> Use the model in a RAG setting There was a post that I shared some days ago on the same: https://lnkd.in/gyzZZ_tS Here I said I'd write a blog on the same. So I wrote one and threw some fine tuning code on the same. You can learn more about it here: https://lnkd.in/gf6pMuu4 It uses Google Colab + Hugging Face TRL + LanceDB as the Vector DB for end to end stuff. Not sure if the fine tuned model can be put to production but it'll bring you closer to understanding end to end reasoning models for sure. #GRPO #reasoning #llm #finetuning #RAG #huggingface #colab #vectorDB #lancedb

?? ???????????????????????? ??????????-?????????? ?????????????? ?????? ?????????????????? This Law Assistant system helps legal professionals and students by retrieving and summarizing legal information. It uses hierarchical multi-agent approach to handle queries about the Indian Penal Code (IPC) and the NDPS Act. This system uses supervising agent, primary agent and sub-agents under each primary agent to find relevant case laws and provide accurate legal summaries quickly. ?? Node app - https://lnkd.in/gp44cqWV Star ?? LanceDB recipes to keep yourself updated - https://lnkd.in/dvmfDFed #agent #hierarchical #multiagent #law #assistant

?? ???????????? ????????????’?? ???????????? ????????????: ??????????????-?????????????? ?????? ?????? ????????????, ?????????????? ???????? ?????????????????????? What if you could go from months of development to hours? That’s exactly what Second Dinner achieved with LanceDB #Cloud: ? Prototyping new features in ?????????? (instead of months) ? ???????? ???????????? QA with a simple API call ? AI-driven workflows ??-???? ???????? ????????-?????????????????? than alternatives “?????????????? ??????’?? ???????? ?? ????????—????’?? ?????? ?????????? ????????.” – Xiaoyang Y., VP of AI, Data, Security at Second Dinner ?? Read the full case study here: https://lnkd.in/gdsK8FVe Special thanks for Eric Del Priore Tal Puhov Qian Zhu for the case study! #AI #GameDevelopment #MachineLearning #Innovation #LanceDB #SecondDinner

?? HoneyHive x LanceDB HoneyHive is an AI monitoring platform that helps developers track, manage, and improve AI applications. It offers tools for performance monitoring, dataset management, debugging, and collaboration to ensure AI systems run smoothly. By integrating LanceDB, developers can now easily trace and analyse your retrieval calls in a few simple steps. ?? Colab Notebook - https://lnkd.in/gdU-jNCu Star ?? LanceDB recipes to keep yourself updated - https://lnkd.in/dvmfDFed #monitoring #retrieval #vectordb #honeyhive