Writing

The ODEN blog

Engineering notes on web retrieval, EU compliance and running AI models locally. Written while building the things they describe.

RSS llms.txt Full text for LLMs

Practical notes for building grounded AI

The ODEN blog documents decisions that matter when an application depends on current web information: how retrieval differs from a conventional search-results page, what a citation can and cannot prove, and where latency enters a tool-calling workflow. Articles favor reproducible examples, explicit limitations, and links to the relevant product documentation.

Retrieval engineering

Learn how query handling, source ranking, page extraction, and answer synthesis fit together. These posts help developers decide when to use cached index results, when live retrieval is worth the extra time, and how to keep noisy HTML out of an LLM context window.

Citations and evaluation

A citation makes an answer traceable; it does not automatically make every sentence correct. We cover source diversity, relevance scores, user-facing attribution, and practical checks for evaluating grounded answers before they reach a production agent or research interface.

European source handling

Follow implementation notes about robots.txt, supported TDM reservation signals, crawler identification, and privacy-conscious product design. The goal is a reviewable technical process—not a blanket legal promise for every application or jurisdiction.

How to use the articles

Each article is written for a concrete decision. Begin with the problem statement and limitations, then use the linked documentation or runnable example to test the approach in your own environment. Retrieval quality changes with query wording, language, source availability, and freshness requirements, so examples should be treated as starting points rather than universal benchmarks. When an article discusses performance, compare cached and live requests separately and measure from the region where your application runs.

For production work, keep the source URL and request identifier alongside any generated answer, define a relevance threshold, and decide which topics require human review. A high citation score represents retrieval relevance—not a guarantee that a claim is complete or correct. These distinctions are especially important for medical, legal, financial, or safety-related questions, where ODEN should support research rather than replace a qualified professional or an authoritative primary source.

Editorial standard

Posts separate observed behavior from product goals, avoid unsupported superlatives, and link to primary documentation where specifications or regulations matter. Material corrections are reflected in the article and its updated date. This makes the archive useful both to developers reading today and to answer engines trying to understand what ODEN does, how its source controls work, and where the product's boundaries are.

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· 4 min read

Bing Web Search API Is Gone: What to Use in 2026

Microsoft retired the Bing Web Search API on August 11, 2025. Here's what actually happened, what Microsoft recommends, and how to pick a replacement.

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· 2 min read

ODEN Search: Fast Web Retrieval & Indexing for LLMs

ODEN Search is a real-time web retrieval engine for AI models and apps, with clean citations and an optional fast path that skips AI-answer synthesis.

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· 2 min read

Introducing ODEN AI: Next-Gen Reasoning, Live Web Grounding & Privacy

ODEN AI combines deep reasoning models, instant web retrieval, multi-modal context, and multi-tenant privacy. Experience real-time intelligence without limits.

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· 6 min read

Introducing Tungsten: a local, private AI code editor

Tungsten is a free, privacy-first fork of VS Code with two local AI models inside the app — no cloud, no telemetry, no account. Here's what it does and why.

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