Reverse Dependencies of InstructorEmbedding

The following projects have a declared dependency on InstructorEmbedding:

• agent-cloud — no summary
• agent-cloud-os — no summary
• agent-context — no summary
• agent-llm — An Artificial Intelligence Automation Platform. AI Instruction management from various providers, has an adaptive memory, and a versatile plugin system with many commands including web browsing. Supports many AI providers and models and growing support every day.
• agent-management-system — no summary
• agent.ngo — no summary
• agent-system — no summary
• agentbox — no summary
• agentDB — no summary
• agentvm — no summary
• aidriver — AIDriver
• ams-core — no summary
• ams-python — no summary
• ApiRack — no summary
• appnext — no summary
• auto-ams — no summary
• chatdocs — Chat with your documents offline using AI.
• code-context — no summary
• codegraph-agent — no summary
• cybrex — Researching AI
• dotagent — no summary
• dotagent-dev — no summary
• dotams — no summary
• dotnext — no summary
• fendi — An auto py builder for ChatBots on top of streamlit app's - LLaMa's powered APS
• few-shot-clustering — A library for efficient semi-supervised clustering with large language models.
• grag — A simple package for implementing RAG
• h2ogpt — no summary
• incognitoGPT — no summary
• instructor-embedders-haystack — Haystack 2.x component to embed strings and Documents using Instructor embedding model.
• instrukt — A versatile AI environment to build and control AI agents using a terminal-based interface.
• koko-cli — no summary
• lancedb — lancedb
• llama-index-embeddings-instructor — llama-index embeddings instructor integration
• llm-server — no summary
• llm4data — LLM4Data is a Python library designed to facilitate the application of large language models (LLMs) and artificial intelligence for development data and knowledge discovery.
• llmproxy — no summary
• molfeat-hype — molfeat plugin that leverages the most hyped LLM models in NLP for molecular featurization
• namas — no summary
• neogpt — NeoGPT: Chat effortlessly with Documents, YouTube Videos,Code, and Social Media Chats. Your go-to for quick and smart interactions! 🤖💬
• next-ams — no summary
• next-llm — no summary
• nextagent — no summary
• nextapi — no summary
• nextpy-ai — no summary
• okahu-observability — package with okahu opentelemetry
• openagent-py — no summary
• openagentos — no summary
• openAMS — no summary
• openlora — no summary
• promptcache — A tool for caching prompts and compleation based on embedding
• promptflow-gui — Create flowcharts to control LLMs
• pyllmsearch — LLM Powered Advanced RAG Application
• RAGchain — Build advanced RAG workflows with LLM, compatible with Langchain
• semantic-similarity-cli — file: README.md
• simplerag — This package will help you talk to your data using Retrieval Augmented Generation (RAG).
• uniteai — AI, Inside your Editor.
• VectorMD — no summary