Showing 7 open source projects for "rag"

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  • 1
    PageIndex

    PageIndex

    Document Index for Vectorless, Reasoning-based RAG

    PageIndex is an innovative open-source framework that reimagines retrieval-augmented generation (RAG) by eliminating conventional vector similarity search and instead building hierarchical semantic indexes that mirror a document’s natural structure. Rather than chunking text and embedding it into a vector database, PageIndex constructs a tree-structured index — similar to a detailed, AI-enhanced table of contents — that a large language model can traverse to locate the most relevant sections of long documents. ...
    Downloads: 3 This Week
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  • 2
    KnowNote

    KnowNote

    A local-first AI knowledge base & NotebookLM alternative

    ...Unlike many NotebookLM alternatives that rely on Docker or cloud deployments, KnowNote runs natively on desktop platforms without complex setup, meaning all data stays local unless the user opts to integrate with self-managed or private LLM APIs. Its retrieval-augmented generation (RAG) system offers semantic search and traceable source references, and it supports multiple LLM providers through a flexible plugin-style provider architecture.
    Downloads: 37 This Week
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  • 3
    Claude Cookbooks

    Claude Cookbooks

    A collection of notebooks/recipes showcasing ways of using Claude

    Claude Cookbooks is a curated collection of practical examples, notebooks, and implementation guides that demonstrate how to effectively use Claude’s API across a wide range of tasks. It serves as both a learning resource and a reference library, helping developers understand how to apply AI capabilities such as classification, summarization, and retrieval-augmented generation in real-world scenarios. The repository includes structured examples for integrating Claude with external tools,...
    Downloads: 2 This Week
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  • 4
    LangChainGo

    LangChainGo

    LangChain for Go, the easiest way to write LLM-based programs in Go

    LangChainGo is a Go-based implementation of the LangChain framework, designed to help developers build applications powered by large language models using the Go programming language. It provides a modular architecture that allows developers to combine components such as language models, chains, agents, memory systems, and vector stores into flexible workflows. The framework emphasizes composability, making it easy to create complex pipelines that integrate LLMs with external data sources,...
    Downloads: 1 This Week
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  • 5
    LocalGPT

    LocalGPT

    Chat with your documents on your local device using GPT models

    LocalGPT is a private, on-premises document intelligence platform for questioning, summarizing, and analyzing files with locally hosted language models. Its data remains on the user’s machine, making it suitable for confidential or offline workflows. The retrieval system combines semantic similarity, keyword matching, late chunking, contextual enrichment, and sentence-level pruning. A smart router chooses between retrieval-augmented generation and direct model responses for each query. An...
    Downloads: 0 This Week
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  • 6
    LLPhant

    LLPhant

    A comprehensive PHP Generative AI Framework

    LLPhant is a PHP-based generative AI framework designed to bring large language model capabilities into modern PHP applications with a structure inspired by frameworks like LangChain. It provides developers with a set of abstractions for building AI-powered features such as chat systems, retrieval pipelines, and automated workflows while remaining simple enough to integrate into existing Symfony or Laravel projects. The framework focuses on usability by offering straightforward APIs for...
    Downloads: 0 This Week
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  • 7
    LangChain.dart

    LangChain.dart

    Build LLM-powered Dart/Flutter applications

    LangChain.dart is a Dart and Flutter implementation of the LangChain framework, designed to enable developers to build LLM-powered applications for mobile, web, and cross-platform environments. It provides a structured way to integrate language models into applications by offering abstractions for chains, agents, embeddings, and vector stores. The framework supports multiple providers and includes packages for integrating with services such as OpenAI, Google AI, and Firebase, allowing...
    Downloads: 0 This Week
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