Context Graph vs RAG vs Raw Context

Context Graph vs RAG vs Raw Context

UncategorisedJuly 1, 202622Views 0Likes 0Comments

Retrieval is critical in AI agents. To do any task correctly, the agent needs to be able to retrieve all the information that is relevant to the task from its memory. Context graphs are all the rage right now, so I benchmarked them against the alternatives. This post explains how each memory method works, what…

Fine-tuning Language Models on Apple Silicon with MLX

Data AnalyticsJune 29, 202617Views 0Likes 0Comments

# Fine-Tuning Language Models on Apple Silicon with MLX Fine-tuning a language model used to mean renting cloud GPUs and watching the meter run. If you own a Mac with an Apple Silicon chip, you can now adapt an open model to your own data locally, at zero cloud cost, using a framework…

OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing

AI NewsJune 29, 202620Views 0Likes 0Comments

def _purge(*prefixes): for name in [m for m in list(sys.modules) if any(m == p or m.startswith(p + ".") for p in prefixes)]: del sys.modules[name] def _load_ocrmypdf(): _purge("PIL", "ocrmypdf") import…

Introducing computer use in Gemini 3.5 Flash

OpenAIJune 29, 202619Views 0Likes 0Comments

Making computer use safe in 3.5 Flash To mitigate some of the prompt injection risks for agents operating in live environments, we use targeted adversarial training for computer use in Gemini 3.5 Flash. We’re also releasing two optional enterprise safeguard systems that enable enterprises to: Require explicit user confirmation for sensitive or irreversible actions. Automatically…

Top 7 Coding Models You Can Run Locally in 2026

Data AnalyticsJune 24, 202619Views 0Likes 0Comments

# Introduction Local coding models are finally getting serious. I have been a big fan of this new wave of local large language models (LLMs), especially the open models and community GGML Universal File (GGUF) releases that make them easier to run on consumer hardware. We are now at a point where some…

Datalab Releases lift: A 9B Open-Weights Vision Model That Extracts Structured JSON From PDFs Using Schemas

AI NewsJune 24, 202621Views 0Likes 0Comments

Datalab has released lift, a 9B open-weights vision model for structured extraction. You pass it a JSON schema, and it returns a JSON object that matches. The model reads PDFs and images directly, then decodes against your schema. This is Datalab’s first model built purely for extraction. The team already ships open-source OCR tools: chandra,…

Introducing Gemma 4 12B

OpenAIJune 24, 202626Views 0Likes 0Comments

Today, we are introducing Gemma 4 12B, our latest model designed to bring agentic multimodal intelligence directly to laptops. Bridging the gap between our edge-friendly E4B and our more advanced 26B Mixture of Experts (MoE), Gemma 4 12B packages powerful capabilities inside a reduced memory footprint. It is also our first mid-sized model to feature…

The Best EDB to PST Conversion

IoTJune 19, 202624Views 0Likes 0Comments

If you’ve ever faced the challenge of extracting Exchange mailboxes data from an offline EDB file, you know how painful the process can be. PowerShell cmdlets fail, native tools have limitations, and the risk of data loss is always looming. That’s exactly where Stellar Converter for EDB steps in and after testing it hands-on, I…

Advanced Join Techniques: LATERAL Joins, Semi Joins, Anti Joins

Data AnalyticsJune 19, 202627Views 0Likes 0Comments

# Introduction INNER JOIN and LEFT JOIN handle most SQL queries. A smaller class of problems needs other join types: counting set-returning function results row by row, filtering rows by existence in another table, and returning rows that have no match in another table. Three less-common joins handle these cleanly. LATERAL joins let…

Gemini 3.5 Live Translate is here

OpenAIJune 19, 202624Views 0Likes 0Comments

Twenty years ago, translation at Google began as one of our pioneering machine learning experiments to turn the science of language into the magic of human connection. That experiment has come a long way with over a trillion words being translated for billions of users across our products every month. Today, we’re taking our next…

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