Tags: knowledge retrieval with RAG framework Page 4

Comprehensive Introduction Depth AI is an artificial intelligence assistant designed for developers to deeply understand and analyze code bases. By building a comprehensive code knowledge graph, Depth AI can answer complex technical questions and help developers manage and optimize their code more efficiently. Whether on Slack, Github...

General Introduction LocalGPT is an open source project designed to allow users to talk to documents on local devices and ensure data privacy. By using various open source models, LocalGPT can process and understand document content without uploading the data to the cloud. The project supports a variety of platforms, including GPU, C...

General Introduction PrivateGPT is an AI project available for production environments that allows users to quiz documents using Large Language Models (LLMs) without an Internet connection. The project ensures data privacy for 100%, and all data is processed in the user's execution environment without disclosure.Priv...

General Introduction Minima is an open source RAG (Retrieval-Augmented Generation) solution that supports local deployment and integration with ChatGPT. The project is maintained by dmayboroda and aims to provide a flexible and standalone RAG system that users can choose to run fully localized...

General Introduction AI Chatbot Supabase is an open source AI chatbot template built on Next.js and Supabase. Developed by Vercel, the project aims to provide a fully functional and customizable chatbot solution. By integrating the Supabase database, users can realize chat logs...

General Introduction RAGLite is a Python toolkit for Retrieval Augmented Generation (RAG) with support for PostgreSQL or SQLite databases. It provides flexible configuration options that allow users to choose different language models and reorderers.RAGLite is known for its lightweight and efficient...

Introduction Thomas joined Vespa in April 2024 as a Senior Software Engineer. In one of his last previous assignments as an AI consultant, he actually built a RAG application based on Vespa's massive PDF collections. PDFs are ubiquitous in the corporate world, and searching and retrieving from them...

General Introduction AutoFlow is an open source tool developed by PingCAP to build graph-based knowledge bases with TiDB serverless vector storage. It integrates LlamaIndex and DSPy framework to support complex dialog search and knowledge graph editing. Users can use a simple JavaScript surrogate...

Comprehensive Introduction GroundX is a full-stack solution designed for building real-data based LLM (Large Language Model) applications, specifically designed to build a full suite of RAG applications. It solves the phantom problem that traditional vector databases create when processing complex documents through dynamic chunking and context generation, helping...

General Introduction Danswer is an open source enterprise document retrieval AI assistant designed to connect to a team's documents, apps, and people to provide unified search and natural language query answers through an intelligent chat interface and unified search capabilities. It ensures that user data and chat logs are fully controlled by the user. Its modules...

Comprehensive introduction LinkAI is a one-stop AI intelligent body building platform launched by Shenzhen Minimalist Future Technology Co. The platform aggregates multimodal models such as text, voice, image, etc., and provides enhanced capabilities such as knowledge base, plug-ins, workflow, etc. It supports zero-code access to enterprise WeChat, public number, WeChat customer service, nail...

Comprehensive Introduction Quanta Quest is the world's first product with "end-side big model + C-side data localization" as the core evolution direction. It helps users to store all data from Gmail, Notion, Dropbox, etc. locally, and process them through vector database to ensure data security and privacy...

General Introduction HelpLook is a tool to quickly build a free help center and knowledge base system. It provides users with the ability to create content such as product documentation, corporate blogs, FAQs, usage guides and troubleshooting with zero code. By integrating AI Q&A bots and AI search capabilities, HelpLook is able to significantly improve...

Comprehensive introduction ChatOllama is an open source online chat application project based on a large language model (LLM) , supporting numerous language models and knowledge base management. Users can use the platform for model management ( list display , download , delete ) , chat with the model and other functions . The project utilizes the Nuxt 3 framework ...

General Introduction Voiceflow is a collaboration platform designed for teams to design, develop and publish chat and voice assistants. Since its inception in 2018, Voiceflow is dedicated to providing developers and designers with a powerful collaborative platform for conversational AI agents. With this platform, users can easily create...

QAnything General Introduction QAnything (Question and Answer based on Anything) is a local knowledge base Q&A system launched by NetEase, which supports all kinds of file formats and databases and can be installed and used offline. It can handle PDF, Word, PPT, XLS and other formats of documents, support for cross...

General Introduction Kotaemon is an open source document Q&A tool designed to provide end-users and developers with Q&A capabilities based on Retrieval Augmented Generation (RAG). Developed by Cinnamon, the project supports a variety of LLM API providers (e.g. OpenAI, AzureOpenAI, Cohere, etc.) as well as native...

Comprehensive Introduction ChatWiki is an open source knowledge base AI Q&A system officially launched by Sesame Little Customer Service, built on Large Language Model (LLM) and Retrieval Augmented Generation (RAG) technology. It provides out-of-the-box data processing and model calling capabilities to help companies quickly build their own knowledge base AI Q&A system...

Comprehensive Introduction DB-GPT is an open source AI native data application development framework built using AWEL (Agentic Workflow Expression Language) and intelligent body technologies. The project aims to build infrastructure in the field of large models by developing several technical capabilities, including a multi-model management system (SMMF),...