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.