Example of RAG architecture using semantic search and summarization for retrieving Bible passages.
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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.
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.
Semantically-Aware Object Sketching.
Creating semantic cache to store responses from LLM queries.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Semantically transforming fonts into illustrations.
Find AI Tools & Apps Search The Most Complete AI Tools Directory AI Search.
Archivarix Tube Search supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Awesome AI Web Search supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Awesome AI Web Search is a GitHub repository or organization with source code, releases, documentation, or project resources.
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
Framework that implements AutoML algorithms for model architecture search at scale.
Chroma - Open-source search and retrieval database for AI applications. Vector, full-text, regex, and metadata search. or Cloud available.
A super-easy way to record, search and compare 1000s of ML training runs.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
The broad reference for classical AI, including search, reasoning, planning, learning, and robotics.