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klotz: retrieval augmented generation* + github*

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1. kotaemon: Open-source RAG UI for chatting with your documents

   An open-source project offering a functional RAG UI for document QA, suitable for both end-users and developers. It supports various LLM providers, is customizable, and offers multi-modal QA, citations, and complex reasoning methods.

   2024-10-13 Tags: kotaemon, rag, ui, document, qa, github, python, gradio by klotz
2. Quick Python tool/script to convert zips + download / convert GitHub repos to llm ready (RAG etc) .md files

   A mini python based tool designed to convert various types of files and GitHub repositories into LLM-ready Markdown documents with metadata, table of contents, and consistent heading styles. Supports multiple file types, handles zip files, and has GitHub integration.

   2024-06-29 Tags: python, github, rag, llm, qanda, reddit, markdown, auto-md by klotz
3. Developer APIs to Accelerate LLM Projects - nlmatics/llmsherpa

   The llmsherpa project provides APIs to accelerate Large Language Model (LLM) projects. It includes features like LayoutPDFReader for PDF text parsing, smart chunking for vector search and Retrieval Augmented Generation, and table analysis. It is open-sourced under Apache 2.0 license.

   2024-06-27 Tags: llm, pdf, text, parsing, retrieval augmented generation, foss, github, cpdomina by klotz
4. Getting Started with RAG

   This article explains Retrieval Augmented Generation (RAG), a method to reduce the risk of hallucinations in Large Language Models (LLMs) by limiting the context in which they generate answers. RAG is demonstrated using txtai, an open-source embeddings database for semantic search, LLM orchestration, and language model workflows.

   2024-06-23 Tags: rag, llm, hallucinations, txtai, embeddings database, semantic search, orchestration, text, github by klotz
5. Unlocking the Power of Unstructured Data with RAG

   This article discusses the potential of unstructured data in software development and how it can be leveraged using Retrieval-Augmented Generation (RAG). The article highlights various types of unstructured data on GitHub, the value of unstructured data, and how RAG can be used to extract insights from this data. The article also explains how RAG works, its applications, and its benefits for developers and organizations.

   2024-06-13 Tags: github, blog, unstructured data, rag, llm by klotz
6. Verba: A Retrieval-Augmented Generation (RAG) chatbot powered by Weaviate

   Verba is an open-source application designed to offer an end-to-end, streamlined, and user-friendly interface for Retrieval-Augmented Generation (RAG) out of the box. It supports various RAG techniques, data types, LLM providers, and offers Docker support and a fully-customizable frontend.

   2024-05-20 Tags: verba, retrieval-augmented generation, rag, weaviate, open-source, chatbot, python, llm, github by klotz
7. llm-chatbot-rag - A local LLM chatbot with RAG for PDF input files

   This is a local LLM chatbot project with RAG for processing PDF input files

   2024-05-17 Tags: llm, chatbot, rag, github, python by klotz
8. Nvidia RAG Demo

   Windows only

   2024-01-11 Tags: github, nvidia, llm, rag by klotz
9. Danswer

   Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.

   2023-12-30 Tags: llm, q and a, github, rag by klotz

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