deepsense-ai/ragbits
Building blocks for rapid development of GenAI applications
Language:Python
Total stars: 275
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#python
#agents, #documentsearch, #evaluation, #guardrails, #llms, #optimization, #prompts, #rag, #vectorstores

topoteretes/cognee
Memory for AI Agents in 5 lines of code
Language:Python
Total stars: 2395
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#python
#ai, #aiagents, #aimemory, #cognitivearchitecture, #cognitivememory, #contributionswelcome, #goodfirstissue, #goodfirstpr, #graphdatabase, #graphrag, #graphrag, #helpwanted, #knowledge, #knowledgegraph, #neo4j, #opensource, #openai, #rag, #vectordatabase

Olow304/memvid
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
Language:Python
Total stars: 930
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4 Jun 2025
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#python
#ai, #context, #embedded, #faiss, #knowledgebase, #knowledgegraph, #llm, #machinelearning, #memory, #nlp, #offlinefirst, #opencv, #python, #rag, #retrievalaugmentedgeneration, #semanticsearch, #vectordatabase, #videoprocessing

codexu/note-gen
A cross-platform Markdown note-taking application dedicated to using AI to bridge recording and writing, organizing fragmented knowledge into a readable note.
Language:TypeScript
Total stars: 2940
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#typescript
#assistant, #chatbot, #knowledgebase, #llm, #markdown, #nextjs, #notetaking, #notesapp, #openai, #rag, #tauri, #webdav

Shubhamsaboo/awesome-llm-apps
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Language:Python
Total stars: 33419
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6 Jun 2025
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#python
#llms, #python, #rag

NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
Language:Jupyter Notebook
Total stars: 16674
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#jupyternotebook
#ai, #langchain, #llamaindex, #llm, #llms, #opeani, #python, #rag, #tutorials

opea-project/GenAIExamples
Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.
Language:Shell
Total stars: 589
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#shell
#chatqna, #codegen, #copilot, #gaudi2, #genai, #llms, #rag, #summarization, #tgi, #xeon

FareedKhan-dev/all-rag-techniques
Implementation of all RAG techniques in a simpler way
Language:Jupyter Notebook
Total stars: 2178
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#jupyternotebook
#ai, #llm, #llms, #multimodal, #openai, #python, #rag

patchy631/ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Language:Jupyter Notebook
Total stars: 9984
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#jupyternotebook
#agents, #ai, #llms, #machinelearning, #mcp, #rag

humanlayer/12-factor-agents
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Language:TypeScript
Total stars: 5403
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#12factor, #12factoragents, #agents, #ai, #contextwindow, #framework, #llms, #memory, #orchestration, #promptengineering, #rag