Open source. 5-minute setup. Vector RAG done right—try it yourself.
The post Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval appeared first on Towards Data Science.
A decade of open source at DataRobot: from predictive AI to the agent lifecycle Every era of DataRobot has shipped open source. The latest open-source contributions from DataRobot map directly onto where agents actually break in production. Building an agent has never been easier. Pick a framework, wire up a model and a retriever, add...
The post A decade of open source at DataRobot: from predictive AI to the agent lifecycle appeared first on DataRobot.
GraphRAG and Vector RAG address different retrieval needs. Vector RAG splits documents into chunks, embeds them, retrieves semantically similar passages, and sends them to an LLM. It is simple, fast to build, and works best when answers sit within one or two relevant chunks. GraphRAG adds structure by extracting entities, relationships, and communities, making it […]
The post GraphRAG vs Vector RAG: Which Retrieval Method is Best? appeared first on Analytics Vidhya.
A coalition of 19 organizations—including every major AI lab and Wall Street banks—just built the security team that open-source maintainers never had.
I benchmarked raw chat history, vector-only RAG, and a context graph on the same multi-agent conversations. The results exposed a surprising weakness in relational retrieval.
The post Vector RAG Isn’t Enough — I Built a Context Graph Layer for Multi-Agent Memory appeared first on Towards Data Science.
Take a practical look at multimodal, any-to-any systems for vision-language reasoning, speech interaction, document intelligence, real-time assistants, local deployment.
Unless you’ve been living under an old woodpile in your backyard, you have certainly seen how agentic coding is rocking the software development world. Things are happening fast and furious, and keeping up is practically a full-time job.
The latest area that is catching the attention of developers is how agentic coding is affecting the open source community. The open source movement has been defending the rights of folks to use, change, and contribute to software for many years. And of course, agentic coding is starting to become part of that process.
On the one hand, maintainers of open source projects rightfully are frustrated as they become overwhelmed with pull requests of dubious quality and usefulness being submitted by coding agents. On the other hand, as David Heinemeier Hansson notes, maintainers are starting to get a little snooty about accepting AI-written code, viewing it as somehow not worthy of being included. Some organizations have explicitly banned AI-generated submis
