Agentic RAG with VoyageAI, Gemini and LangGraph
Learn to build an agentic RAG system with LangChain, MyScaleDB, VoyageAI, and Tavily for dynamic Q&A that adapts to real-time data and knowledge base searches.
Design PatternLangChain on LinkedIn: ✒️Kiroku is a multi-agent system that helps you organize and write…
✒️Kiroku is a multi-agent system that helps you organize and write documents Really complex agent (see the diagram below!) that HEAVILY involves a "human in…
ExampleImplementing GraphReader with Neo4j and LangGraph
‼️ Important
Design Pattern
Deep Divelangchain-ai/open-canvas: 📃 A better UX for chat, writing content, and coding with LLMs.
📃 A better UX for chat, writing content, and coding with LLMs. - langchain-ai/open-canvas
UX/UIWeekend webinar to watch on-demand: Python Package: Accelerate with Knowledge Graphs.
❇️ Quickly build knowledge graphs from unstructured text documents
Easily implement knowledge graph retrievers combining graph traversals and vector…
— Neo4j (@neo4j)
Tutorial
SCIPE - Systematic Chain Improvement and Problem Evaluation
Related to LangChain
Design Pattern
RAG Context Refinement Agent — LlamaIndex - Build Knowledge Assistants over your Enterprise Data
LlamaIndex is a simple, flexible framework for building knowledge assistants using LLMs connected to your enterprise data.
Package
Paper
GraphRAG Field Guide: Navigating the World of Advanced RAG Patterns
Explore advanced GraphRAG retrieval patterns and how graph structures enhance RAG systems. Learn actionable strategies to implement and optimize GraphRAG.
Concept
Building Blocks of LLM Report Generation: Beyond Basic RAG — LlamaIndex, Data Framework for LLM Applications
LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models (LLMs).
microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/ - microsoft/generative-ai-for-beginners
Tutorial
How to implement a ReAct flow using LangGraph (Studio)
This post will explain how you can implement complex agentic ReAct flows using LangGraph and LangGraph Studio. Basic Python knowledge is…
Design PatternLlamaIndex on LinkedIn: We’re publishing 2 full-length tutorial videos showing you how to… | 12 comments
We’re publishing 2 full-length tutorial videos showing you how to implement various agentic RAG techniques - adding LLM layers to reason over inputs and post… | 12 comments on LinkedIn
TutorialMulti-Agent Workflow for Research 🧑🔬 and Powerpoint Generation 🎨
This weekend, check out one of the most comprehensive tutorials we’ve seen on building an e2e research agent with nested workflows for 1) research, and 2) generating a Powerpoint deck with human-in-the-loop.…
— LlamaIndex 🦙 (@llama_index)
Example
Building an Advanced RAG System With Self-Querying Retrieval | MongoDB
It’s related to BundesFlow.
Ok, I’ll bite: What’s ColPali?
(And why should anyone working with RAG over PDFs care?)
ColPali makes information retrieval from complex document types - like PDFs - easier.
Information retrieval from PDFs is hard because they contain various components:
Text, images, tables,…
— Leonie (@helloiamleonie)
ConceptColPali is changing the game for PDF retrieval by eliminating the need for OCR and chunking methods 🚀
Inspired by ColBERT’s success with text, ColPali splits an image of a document into patches, which are then processed through a vision LLM called PaliGemma. The embeddings for…
— Victoria Slocum (@victorialslocum)
RAG Developer Attention! 🔔 Docling is a new library from that efficiently parses PDF, DOCX, and PPTX and exports them to Markdown and JSON. It supports advanced PDF understanding and seamless integration with and .
TL;DR:
🗂️ Parses numerous…
— Philipp Schmid (@_philschmid)
Package
Package
Agent Authentication with Arcade AI and LangGraph
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Tutorial
Create a Neo4j GraphRAG Workflow Using LangChain and LangGraph
Create a Neo4j GraphRAG workflow using LangChain and LangGraph, combining graph queries, vector search, and dynamic prompting for advanced RAG.
In this situation, we need to parse the question into the desired number of subqueries that perform a necessary task.
Predictions for the Future of RAG - jxnl.co
Explore the future of RAG in report generation, enhancing decision-making and resource allocation for businesses.
Report
Low-Hanging Fruit for RAG Search - jxnl.co
Explore low-hanging fruit strategies to enhance your RAG search systems and improve user experience with practical techniques.
ConceptUsing LangGraph and Graphiti — Zep Documentation
Building an agent with LangChain's LangGraph and Graphiti
Use CasesDatabricks AI Security Framework (DASF)
An actionable framework for managing AI security
Security
Security planning for LLM-based applications
This article discusses the Security planning for the sample Retail-mart application. It shows the architecture and data flow diagram of the example application.