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Transform unstructured documents into validated, rich and queryable knowledge graphs.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they…
Workshop: Agentic Search for Context Engineering
The open-source app everyone uses to manage agents at work
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
Reliable model swapping for any local OpenAI/Anthropic compatible server - llama.cpp, vllm, etc
gary149 / llama-agent
Forked from ggml-org/llama.cppAgents in llama.cpp
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
Display H5P content without the need for an H5P server
coastalcph / nlp-course
Forked from copenlu/stat-nlp-bookInteractive Lecture Notes, Slides and Exercises for the NLP course at DIKU, UCPH
Template to use genai for chatting and via api to accelerate research
The context API to search, scrape, and interact with the web at scale. 🔥
A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Retrieval and Retrieval-augmented LLMs
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
A JavaScript library like PyTorch, with GPU acceleration.
🙌 OpenHands: AI-Driven Development