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
Stars trend:
#python
#llms, #python, #rag
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Language:Python
Total stars: 33419
Stars trend:
6 Jun 2025
9am ▊ +6
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7pm ▋ +5
8pm █▍ +11#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
Stars trend:
#jupyternotebook
#ai, #langchain, #llamaindex, #llm, #llms, #opeani, #python, #rag, #tutorials
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
Stars trend:
6 Jun 2025
5pm ▍ +3
6pm +0
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8pm +0
9pm ▏ +1
10pm +0
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7 Jun 2025
12am █▎ +10
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3am █▌ +12
4am █▏ +9#jupyternotebook
#ai, #langchain, #llamaindex, #llm, #llms, #opeani, #python, #rag, #tutorials
tensorzero/tensorzero
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
Language:Rust
Total stars: 4662
Stars trend:
#rust
#ai, #aiengineering, #anthropic, #artificialintelligence, #deeplearning, #genai, #generativeai, #gpt, #largelanguagemodels, #llama, #llm, #llmops, #llms, #machinelearning, #ml, #mlengineering, #mlops, #openai, #python, #rust
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
Language:Rust
Total stars: 4662
Stars trend:
7 Jun 2025
7am ▋ +5
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10am ▉ +7
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2pm █▏ +9
3pm █▏ +9
4pm █▍ +11
5pm █▏ +9
6pm ▊ +6#rust
#ai, #aiengineering, #anthropic, #artificialintelligence, #deeplearning, #genai, #generativeai, #gpt, #largelanguagemodels, #llama, #llm, #llmops, #llms, #machinelearning, #ml, #mlengineering, #mlops, #openai, #python, #rust
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
Stars trend:
#shell
#chatqna, #codegen, #copilot, #gaudi2, #genai, #llms, #rag, #summarization, #tgi, #xeon
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
Stars trend:
10 Jun 2025
2am █▍ +11
3am ████▋ +37
4am ██▎ +18
5am █▋ +13
6am ▋ +5#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
Stars trend:
#jupyternotebook
#ai, #llm, #llms, #multimodal, #openai, #python, #rag
Implementation of all RAG techniques in a simpler way
Language:Jupyter Notebook
Total stars: 2178
Stars trend:
9 Jun 2025
11pm █▎ +10
10 Jun 2025
12am ▊ +6
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8am ▋ +5
9am █ +8
10am ▊ +6#jupyternotebook
#ai, #llm, #llms, #multimodal, #openai, #python, #rag
NirDiamant/GenAI_Agents
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
Language:Jupyter Notebook
Total stars: 13074
Stars trend:
#jupyternotebook
#agents, #ai, #genai, #langchain, #langgraph, #llm, #llms, #openai, #tutorials
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
Language:Jupyter Notebook
Total stars: 13074
Stars trend:
10 Jun 2025
11pm ▋ +5
11 Jun 2025
12am █ +8
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2am █▏ +9
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9am ▋ +5
10am ▎ +2#jupyternotebook
#agents, #ai, #genai, #langchain, #langgraph, #llm, #llms, #openai, #tutorials
steipete/agent-rules
Rules and Knowledge to work better with agents such as Claude Code or Cursor
Language:Shell
Total stars: 295
Stars trend:
#shell
#agent, #claudecode, #cursor, #llms, #rules
Rules and Knowledge to work better with agents such as Claude Code or Cursor
Language:Shell
Total stars: 295
Stars trend:
13 Jun 2025
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12pm ▌ +4
1pm ▋ +5
2pm █ +8
3pm ▍ +3#shell
#agent, #claudecode, #cursor, #llms, #rules
NirDiamant/agents-towards-production
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.
Language:Jupyter Notebook
Total stars: 187
Stars trend:
#jupyternotebook
#agent, #agentframework, #agents, #aiagents, #genai, #generativeai, #llm, #llms, #mlops, #multiagent, #production, #toolintegration, #tutorials
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.
Language:Jupyter Notebook
Total stars: 187
Stars trend:
17 Jun 2025
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2am +0
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4am +0
5am +0
6am ▊ +6
7am ████ +32
8am ███▎ +26
9am ██▏ +17#jupyternotebook
#agent, #agentframework, #agents, #aiagents, #genai, #generativeai, #llm, #llms, #mlops, #multiagent, #production, #toolintegration, #tutorials
patchy631/ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Language:Jupyter Notebook
Total stars: 9984
Stars trend:
#jupyternotebook
#agents, #ai, #llms, #machinelearning, #mcp, #rag
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Language:Jupyter Notebook
Total stars: 9984
Stars trend:
19 Jun 2025
6am ▎ +2
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2pm ▋ +5
3pm ▊ +6#jupyternotebook
#agents, #ai, #llms, #machinelearning, #mcp, #rag
oraios/serena
a powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)
Language:Python
Total stars: 2407
Stars trend:
#python
#agent, #ai, #aicoding, #languageserver, #llms, #mcpserver, #programming, #vibecoding
a powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)
Language:Python
Total stars: 2407
Stars trend:
22 Jun 2025
11pm █▏ +9
23 Jun 2025
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9am ▌ +4
10am ▍ +3#python
#agent, #ai, #aicoding, #languageserver, #llms, #mcpserver, #programming, #vibecoding
Portkey-AI/gateway
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
Language:TypeScript
Total stars: 8307
Stars trend:
#typescript
#aigateway, #gateway, #generativeai, #hacktoberfest, #langchain, #llamaindex, #llmops, #llms, #openai, #promptengineering, #router
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
Language:TypeScript
Total stars: 8307
Stars trend:
26 Jun 2025
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27 Jun 2025
12am █▏ +9#typescript
#aigateway, #gateway, #generativeai, #hacktoberfest, #langchain, #llamaindex, #llmops, #llms, #openai, #promptengineering, #router
Helicone/ai-gateway
The fastest, lightest, and easiest-to-integrate AI gateway on the market. Fully open-sourced.
Language:Rust
Total stars: 191
Stars trend:
#rust
#ai, #cache, #gateway, #llm, #llms, #loadbalancing, #observability, #ratelimiting
The fastest, lightest, and easiest-to-integrate AI gateway on the market. Fully open-sourced.
Language:Rust
Total stars: 191
Stars trend:
26 Jun 2025
7pm █ +8
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27 Jun 2025
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5am ▍ +3
6am ▍ +3#rust
#ai, #cache, #gateway, #llm, #llms, #loadbalancing, #observability, #ratelimiting
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
Stars trend:
#typescript
#12factor, #12factoragents, #agents, #ai, #contextwindow, #framework, #llms, #memory, #orchestration, #promptengineering, #rag
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
Stars trend:
4 Jul 2025
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11am ▌ +4#typescript
#12factor, #12factoragents, #agents, #ai, #contextwindow, #framework, #llms, #memory, #orchestration, #promptengineering, #rag