Semantically-Aware Object Sketching.
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Example of RAG architecture using semantic search and summarization for retrieving Bible passages.
Creating semantic cache to store responses from LLM queries.
Give your agents context that actually works. Real-time sync across Slack, GitHub, Jira, and more. One API, zero ops, semantic search built-in.
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
Universal memory service with semantic search, autonomous consolidation, and multi-client support for AI applications.
Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it.
Integrate LLM technology quickly and easily into your apps.
Montague is a semantic parsing library for Scala with an easy-to-use DSL.
Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.
Semantic search and workflows powered by language models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Semantically transforming fonts into illustrations.