Link to their GitHub repo! Go and check if they have integration for your favourite framework:
@akshay_pachaar
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Opik Integrations: Framework Support and Custom Decorator Solution
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Opik offers integrations for nearly all popular frameworks. But if you don't find what you need, don't worry! A single decorator will handle it for you. Check this out
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Opik: Open-source monitoring for multi-agent LLM applications
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Effortlessly trace and monitor multi-agent LLM applications!
— Akshay 🚀 (@akshay_pachaar) 21 mars 2025
With just two lines of code, Opik tracks everything happening inside your AI application, including costs. See the CrewAI example below.
100% open-source, self-hosted. pic.twitter.com/pp95bsVkUoEffortlessly trace and monitor multi-agent LLM applications! With just two lines of code, Opik tracks everything happening inside your AI application, including costs. See the CrewAI example below. 100% open-source, self-hosted.
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DeepSeek Open-Sources Lightweight Big Data Processing Framework
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DeepSeek has just open-sourced a lightweight big data processing framework! Built on DuckDB and **3FS, smallpond makes massive data handling straightforward. **3FS: The Fire-Flyer File System is a high-performance distributed system for AI workloads that streamlines
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SQLite-Vec: Lightweight Portable Vector Database for On-Device RAG
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SQLite-Vec: a tiny, portable vectorDB built on SQLite! It's lightning fast & lightweight, perfect for on-device RAG solutions! Key features: – Matryoshka embedding slicing
– 32x storage reduction with binary quantization
– L2, cosine, and Hamming distance support
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CrewAI and Browserbase: Powerful Combination for Web Automation
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CrewAI and Browserbase truly make a powerful combination. Considering that only 1-2% of websites have proper APIs, the possibilities this combo unlocks with agentic headless browsers are endless. Glad you liked it Sumanth! 🙂
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Free Browser Minutes and Local LLM Setup with Ollama
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You get 60 browser minutes free, if you want to try. You can run all my code on a local machine. the LLM is served 100% locally using ollama. Cheers! 🙂
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LLMs, AI Agents, and ML/AI Engineering Tutorials
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That's a wrap! If you're interested in: – LLMs – AI Agents – ML/AI Engineering Find me →
@akshay_pachaar
Everyday, I share tutorials on above topics! -
Streamlit Chat Interface for Real-Time Flight Details
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Streamlit UI To make this accessible, we wrapped the entire system in a @Streamlit interface. It’s a simple chat-like UI where you enter your flight details and see the results in real time! Check this out
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Crew Processes Flight Search Request and Delivers Results
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Kickoff and results Finally, we feed the user’s request (departure city, arrival city, travel dates) into the Crew and let it run! Check this out