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textpress 1.1.0

API and naming

• Package is now organized around a four-stage pipeline: Fetch → Read → Process → Search. All functions use a consistent verb_noun pattern.
• Acquire: fetch_urls() (from web search), fetch_wiki_urls(), fetch_wiki_refs() — return URLs or metadata, not full text.
• Ingest: read_urls() — read content from URLs into R (replaces web_scrape_urls).
• Process: nlp_split_*, nlp_tokenize_text(), nlp_index_tokens() (and nlp_roll_chunks() for rolling windows).
• Search: Four retrieval options — search_regex() (regex/KWIC), search_index() (BM25), search_vector() (cosine over your own embeddings), search_dict() (dictionary match; replaces ner_extract_entities).
• Common parameters standardized: corpus (replaces tif), by (replaces text_hierarchy).

Removed

• In-package embedding generation (e.g. Hugging Face API). Use your own embedding pipeline and pass your embedding matrix as the argument to .
• Legacy names: web_search, wiki_search, wiki_find_references, web_scrape_urls, ner_extract_entities, sem_nearest_neighbors / sem_search_corpus (replaced by search_vector and search_regex).

Documentation

• README revamped around the API map and a single “golden path” workflow.
• DESCRIPTION and package help updated for the four-stage pipeline; version set to 1.1.0.

textpress 1.0.0

• Initial release: URL fetching, URL content reading, NLP processing (split, tokenize, index), and corpus/search utilities.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.