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Search results for python retrieval augmented generation
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retrieval-augmented-generation
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44 search results found
Danswer
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6,435
Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.
Txtai
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6,143
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Khoj
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4,264
Your AI second brain. A copilot to search and chat (using RAG) with your knowledge base (pdf, markdown, org). Use powerful, online (e.g gpt4) or private, offline (e.g mistral) LLMs. Self-host locally or have it always accessible on the cloud. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp
Flagembedding
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2,797
Dense Retrieval and Retrieval-augmented LLMs
Llmware
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1,859
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Llm App
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1,573
LLM App is a production framework for building and serving AI applications and LLM-enabled real-time data pipelines.
Langroid
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988
Harness LLMs with Multi-Agent Programming
Autollm
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769
Ship RAG based LLM web apps in seconds.
Rag Demystified
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610
An LLM-powered advanced RAG pipeline built from scratch
Generativeaiexamples
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458
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Arxivchatguru
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446
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
Obsidian Copilot
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341
🤖 A prototype assistant for writing and thinking
Agent Search
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295
AgentSearch is a framework for powering search agents and enabling customizable local search.
Angle
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240
Angle-optimized Text Embeddings | 🔥 SOTA on STS and MTEB Leaderboard
Dalm
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219
Domain Adapted Language Modeling Toolkit - E2E RAG
Repochat
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190
Chatbot assistant enabling GitHub repository interaction using LLMs with Retrieval Augmented Generation
Txtchat
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183
💭 Retrieval augmented generation (RAG) and language model powered search applications
Simplyretrieve
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169
Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation.
Akcio
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166
Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.
Biocypher
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160
A unifying framework for biomedical research knowledge graphs
Chromadb Plugin For Lm Studio
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142
Plugin that creates a ChromaDB vector database to work with LM Studio running in server mode!
Tonic_validate
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128
Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
Kg_rag
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114
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
Redisvl
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105
Redis Vector Library (RedisVL) enables Redis as a realtime vector database for LLM Applications.
Flashrank
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97
Ultra-lite & Super-fast re-ranking for your search & retrieval pipelines. Based on SoTA models like cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
Taskingai
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97
The open source platform for AI-native application development.
Fluid Db
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86
Fluid Database
Continuous Eval
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78
Evaluation for LLM / RAG pipelines, ready for CI/CD
Rag Using Langchain Amazon Bedrock And Opensearch
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47
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
Biochatter
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25
Backend library for conversational AI in biomedicine
Ralle
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21
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
Gpt Gradio Agent
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20
Build your own GPT Agent,get web resources and manage your local knowledge base with Azure OpenAI API (or OpenAI). 使用 Azure OpenAI(兼容OpenAI)创建自己的 GPT 智能助手,获取网页资源,并构建和管理本地知识库。
Retrievegpt
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18
A simple local large language model (LLM) app used to retrieve internal documents based on questions.
Gpt All Local
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15
A "chat with your data" example: using a large language models (LLM) to interact with our own (local) data. Everything is local: the embedding model, the LLM, the vector database. This is an example of retrieval-augmented generation (RAG): we find relevant sections from our documents and pass it to the LLM as part of the prompt (see pics).
Embedia
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13
Make LLM-powered webapps with ease
Semantic Ai
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11
An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).
Build Ragai
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11
AI-powered Python components and notebooks for leveraging Large Language Models from OpenAI and Hugging Face.
Kaggel Llm Science Exam 2023
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9
Autonomous_general_agent_swarm
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9
chatgpt on crack
Interactive Rag
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8
Using MongoDB Atlas + ActionWeaver, we can build a user proxy agent that efficiently retrieves and ingests relevant information. This agent presents the data to the user in an interactive and customizable manner, enhancing the overall user experience.
Examplify
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8
An offline CPU-first memory-scarce chat application to perform RAG on your corpus of data. Powered by OpenChat and CTranslate2.
Llamaindexchat
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7
LLM Chatbot with Retrieval Augmented Generation using Llamaindex
Openai Embeddings
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6
OpenAI chatGPT hybrid search and retrieval augmented generation
Llm Math Education
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5
Retrieval augmented generation for middle-school math question answering and hint generation
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