Topic: retrieval-augmented-generation Goto Github
Some thing interesting about retrieval-augmented-generation
Some thing interesting about retrieval-augmented-generation
retrieval-augmented-generation, Mistral + Haystack: build RAG pipelines that rock π€
User: anakin87
retrieval-augmented-generation,Library to generate vector embeddings in NodeJS
User: anush008
Home Page: https://www.npmjs.com/package/fastembed/
retrieval-augmented-generation,Library for generating vector embeddings, reranking in Rust
User: anush008
Home Page: https://docs.rs/fastembed
retrieval-augmented-generation,Domain Adapted Language Modeling Toolkit - E2E RAG
Organization: arcee-ai
Home Page: https://www.arcee.ai
retrieval-augmented-generation,All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
Organization: arguflow
Home Page: https://dashboard.trieve.ai
retrieval-augmented-generation,RAG with langchain using Amazon Bedrock and Amazon OpenSearch
Organization: aws-samples
retrieval-augmented-generation,Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.
Organization: aws-solutions
Home Page: https://aws.amazon.com/solutions/implementations/generative-ai-application-builder-on-aws
retrieval-augmented-generation,AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Organization: awslabs
Home Page: https://awslabs.github.io/generative-ai-cdk-constructs/
retrieval-augmented-generation,Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
Organization: baranzinilab
retrieval-augmented-generation,Plugin that lets you use LM Studio to ask questions about your documents including audio and video files.
User: bbc-esq
retrieval-augmented-generation,A unifying framework for biomedical research knowledge graphs
Organization: biocypher
Home Page: https://biocypher.org
retrieval-augmented-generation,A simple local large language model (LLM) app used to retrieve internal documents based on questions.
User: danielskry
retrieval-augmented-generation,Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
Organization: danswer-ai
Home Page: https://docs.danswer.dev/
retrieval-augmented-generation,π€ A prototype assistant for writing and thinking
User: eugeneyan
Home Page: https://eugeneyan.com/writing/obsidian-copilot/
retrieval-augmented-generation,Retrieval and Retrieval-augmented LLMs
Organization: flagopen
retrieval-augmented-generation,EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.
Organization: hyintell
retrieval-augmented-generation,Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.
User: josefalbers
retrieval-augmented-generation,Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
User: jxzhangjhu
retrieval-augmented-generation,Harness LLMs with Multi-Agent Programming
Organization: langroid
Home Page: https://langroid.github.io/langroid/
retrieval-augmented-generation,Unified framework for building enterprise RAG pipelines with small, specialized models
Organization: llmware-ai
Home Page: https://llmware-ai.github.io/llmware/
retrieval-augmented-generation,A complete guide to start and improve your LLM skills in 2024 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
User: louisfb01
Home Page: https://www.louisbouchard.ai/from-zero-to-hero-with-llms/
retrieval-augmented-generation,A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
User: mallahyari
retrieval-augmented-generation,The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
Organization: mintplex-labs
Home Page: https://anythingllm.com
retrieval-augmented-generation,Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it ideal for efficient document retrieval and summarization.
User: mirabdullahyaser
Home Page: https://retrieval-augmented-generation.streamlit.app/
retrieval-augmented-generation,MongoDB Chatbot Framework. Powered by MongoDB and Atlas Vector Search.
Organization: mongodb
Home Page: https://mongodb.github.io/chatbot/
retrieval-augmented-generation,π‘ All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Organization: neuml
Home Page: https://neuml.github.io/txtai
retrieval-augmented-generation,Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Organization: nvidia
retrieval-augmented-generation,Postgres for Search and Analytics
Organization: paradedb
Home Page: https://paradedb.com
retrieval-augmented-generation,Dynamic RAG for enterprise. Ready to run with Docker,β‘in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
Organization: pathwaycom
Home Page: https://pathway.com/developers/templates/
retrieval-augmented-generation,An LLM-powered advanced RAG pipeline built from scratch
User: pchunduri6
retrieval-augmented-generation,Chatbot assistant enabling GitHub repository interaction using LLMs with Retrieval Augmented Generation
User: pnkvalavala
Home Page: https://repochat.streamlit.app
retrieval-augmented-generation,Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
User: prithivirajdamodaran
retrieval-augmented-generation,Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Organization: qdrant
Home Page: https://qdrant.github.io/fastembed/
retrieval-augmented-generation,Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation.
User: rcgai
retrieval-augmented-generation,Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
Organization: redisventures
retrieval-augmented-generation,Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post on Microsoft Developer Blog
Organization: redisventures
retrieval-augmented-generation,Redis Vector Library (RedisVL) interfaces with Redis' vector database for realtime semantic search, RAG, and recommendation systems.
Organization: redisventures
Home Page: https://www.redisvl.com/
retrieval-augmented-generation,Fractal Graph-of-Thought. Experimental Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
User: satellitecomponent
Home Page: https://neurite.network/
retrieval-augmented-generation,A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI)
User: sauravjoshi23
retrieval-augmented-generation,Train and Infer Powerful Sentence Embeddings with AnglE | π₯ SOTA on STS and MTEB Leaderboard
User: seanlee97
Home Page: https://arxiv.org/abs/2309.12871
retrieval-augmented-generation,Chrome Extension to Summarize or Chat with Web Pages/Local Documents Using locally running LLMs. Keep all of your data and conversations private. π
User: shreyaskarnik
retrieval-augmented-generation,Querying local documents, powered by LLM
User: snexus
retrieval-augmented-generation,Open-source RAG Framework for building GenAI Second Brains π§ Build productivity assistant (RAG) β‘οΈπ€ Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Efficient retrieval augmented generation framework
Organization: stangirard
Home Page: https://quivr.com
retrieval-augmented-generation,Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
Organization: tonicai
Home Page: https://docs.tonic.ai/validate/
retrieval-augmented-generation,Optimal Chunk Size for Large Document Summarization
Organization: vectifyai
Home Page: https://vectify.ai/blog/LargeDocumentSummarization
retrieval-augmented-generation,an intro to retrieval augmented large language model
User: wang-shuo
retrieval-augmented-generation,RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
User: yhoshi3
retrieval-augmented-generation,COSCUP 2023 ηθ°η¨ζε°η³»η΅±
User: yukaii
Home Page: https://coscup-search.yukai.dev
retrieval-augmented-generation,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.
Organization: zilliztech
Home Page: https://github.com/zilliztech/akcio/wiki
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Open source projects and samples from Microsoft.
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