Check out the GraphRAG integration here:
CODE
-
MongoDB Atlas GraphRAG Integration for Enhanced LLM Reasoning
By
–
MongoDB Atlas GraphRAG MongoDB Atlas just launched a GraphRAG integration that combines knowledge graphs with LLMs, automatically creating graphs from documents for smarter retrieval and multi-hop reasoning with 2x better accuracy. Build better AI apps with GraphRAG Link
-
Paper2Code: Automating Code Generation from Scientific Papers
By
–
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning Seo et al.: https://
arxiv.org/abs/2504.17192 #ArtificialIntelligence #DeepLearning #MachineLearning -
Vibecoding as the Future of App Development
By
–
That sounds awesome! Can't wait to see what cool apps come from this. Vibecoding is the future!
-
MCP Use: Open Source Library for LLM Tool Integration
By
–
Bonus: MCP Use MCP Use is an Open Source MCP Client Library that connects any LLM to MCP tools for building custom agents with tool access. Connect any LLM to any MCP server!
-
DeepGit: LangGraph-Powered GitHub Search System with AI Discovery
By
–
DeepGit A LangGraph-powered GitHub search system that uses advanced AI to discover hidden gems, featuring smart hardware compatibility filtering and ColBERT v2 embeddings for precise matching. Available in both full and lite versions. Explore smarter repository discovery
-
Gemini API Adds Reasoning Efforts via OpenAI Compatibility Layer
By
–
The Gemini API through our OpenAI compatibility layer now supports reasoning efforts: "low", "medium", "high", and "none"! You can hot swap to Gemini 2.5 Flash with 3 lines of code changed : )
-
Google Launches OpenAI Compatibility Layer and Thinking Models
By
–
Read more about the OpenAI compatibility layer: https://
ai.google.dev/gemini-api/doc
s/openai
… And more about our thinking models: -
PyTorch Moves IO to TorchCodec for Better Efficiency
By
–
the IO part is moving to torchcodec: https://
github.com/pytorch/torchc
odec
…
We're not dropping IO without a replacement.
torchcodec is even more efficient than the torchaudio IO -
Google Reports 30% of Code Now AI-Generated, Rising Fast
By
–
30 % du code de Google est désormais généré par l’IA. En octobre 2024, c’était 25 %. D’ici fin 2025, ce chiffre pourrait atteindre 50 %.