All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
-
Updated
May 14, 2024 - Rust
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
Specifically built for the research proposal: Estimating sector attention index with deep learning methods : example of Chinese stock market, Jan. 4, 2024.
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
A NodeJS RAG framework to easily work with LLMs and embeddings
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
Incremental Fast Lightweight (y) virtual network Embedding framework
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain
LlamaIndex is a data framework for your LLM applications
DNABERT_S: Learning Species-Aware DNA Embedding with Genome Foundation Models
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
Simple command-line AI query tool.
优质稳定的OpenAI的API接口-For企业和开发者。OpenAI的api proxy,支持ChatGPT的API调用,支持openai的API接口,支持:gpt-4,gpt-3.5。不需要openai Key, 不需要买openai的账号,不需要美元的银行卡,通通不用的,直接调用就行,稳定好用!!智增增
Python package to reduce the qubit requirements of quantum simulation by embedding into DFT.
Redis Vector Library (RedisVL) interfaces with Redis' vector database for realtime semantic search, RAG, and recommendation systems.
The TypeScript library for building AI applications.
Add a description, image, and links to the embedding topic page so that developers can more easily learn about it.
To associate your repository with the embedding topic, visit your repo's landing page and select "manage topics."