#Search-algorithms
Showing 7 of 7 repositories tagged #search-algorithms, ranked by stars
Language model search engine built on a vector database and an anything key/value store.
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
Source Code for the Book Classic Computer Science Problems in Swift
🔵🔎 Findto is a decentralized search assistant for AI and Web.
Own your LLM's web search: a local search->fetch->rank pipeline that replaces hosted web-search tools. Measured: matches hosted accuracy at 66% lower cost and up to 88% fewer tokens, plus a precision-tuned semantic caching with query-dependant TTL that no API offers.
Solutions for the Projects of the Artificial Intelligence (CS 188) course of UC Berkeley
🧾 | Use these AI prompts to refine your searches, improve accuracy, and get detailed, context-driven responses that precisely match your queries.