sandbox 2 #6
Description
Agents
LangGraphs
Chunking
Retrieval
Prompts engineering
Automatic Prompts Engineering
Evaluation
Multimodal RAG
RAG architectures
- Structured Hierarchical Retrieval: Revolutionizing Multi-Document RAG Architectures
- A Complete Guide to RAG -> RAG Architecture: Advanced RAG
Unsorted
- How to improve RAG results in your LLM apps: from basics to advanced
- Solving Reasoning Problems with LLMs in 2023
- AI Drift In Retrieval Augmented Generation — AND — How To Control It!
- Teaching LLMs To Say, “I don’t know”
- Navigating the AI Landscape of 2024: Trends, Predictions, and Possibilities
- Beyond English: Implementing a multilingual RAG solution
Can LLMs Replace Data Analysts? Building An LLM-Powered Analyst | by
Mariya Mansurova | Towards Data Science
https://towardsdatascience.com/can-llms-replace-data-analysts-building-an-llm-powered-analyst-851578fa10ce
How to Evaluate LLM Applications. ChatGPT, the leading code generator…
| by Jeffrey Ip | Medium
https://medium.com/@jeffreyip54/how-to-evaluate-llm-applications-3582505e14e3
OpenAI API: Dive deep into the API Request & API Response | by Apollo | Medium
https://medium.com/@apollovro/openai-api-dive-deep-into-the-api-request-api-response-c51ccf313600
Advanced Retrieval Techniques In RAG | by Prince Krampah | AI Advances
https://ai.gopubby.com/advance-retrieval-techniques-in-rag-5fdda9cc304b
Introduction to DataGPT. How you can use it for BigQuery… | by
Christianlauer | CodeX | Medium
https://medium.com/codex/introduction-to-datagpt-f60ab37f1f53
So, You Want To Improve Your RAG Pipeline | by Ryan Nguyen | Towards AI
https://pub.towardsai.net/so-you-want-to-improve-your-rag-pipeline-28b0cfadbfd7
GPT Prompt Engineering for Knowledge Graph Creation | by Federica
Ventruto | Medium
https://medium.com/@federicaventruto1/gpt-prompt-engineering-for-knowledge-graph-creation-da9e0c1ae28c
OpenAI API: Fine-tune a GPT for your application | by Apollo | Medium
https://medium.com/@apollovro/openai-api-fine-tune-a-gpt-for-your-application-9ce043a4c53c
Evaluating RAG Applications with Trulens | by zhaozhiming | Generative AI
https://generativeai.pub/evaluating-rag-applications-with-trulens-9fad3bf352b6
Add personality to your Chatbot! (with PoC) | by Aron Negyesi | Medium
https://aronnegyesi.medium.com/add-personality-to-your-chatbot-with-poc-b3fe1ad56ec9
RAG on knowledge graphs using Zephyr-7B | by Manoj Kumar Vohra | Medium
https://medium.com/@manojkumarvohra9/rag-on-knowledge-graphs-using-zephyr-7b-2f34f99a9747
Better RAG with Active Retrieval Augmented Generation FLARE
https://blog.lancedb.com/better-rag-with-active-retrieval-augmented-generation-flare-3b66646e2a9f/
Gen AI Frameworks and Tools Every AI/ML Engineer Should Know! | by
Pavan Belagatti | Level Up Coding
https://levelup.gitconnected.com/gen-ai-frameworks-and-tools-every-ai-ml-engineer-should-know-1f0ce36f1452
Chunking Strategies for LLM Applications | Pinecone
https://www.pinecone.io/learn/chunking-strategies/
LLM Self Critique - Instructor
https://jxnl.github.io/instructor/examples/self_critique/
Semantic chunking in practice. Semantic Chunking with LLMs: A Novel… |
by Boudhayan Dev | Medium
https://boudhayan-dev.medium.com/semantic-chunking-in-practice-23a8bc33d56d
Advanced Query Transformations to Improve RAG | by Iulia Brezeanu |
Towards Data Science
https://towardsdatascience.com/advanced-query-transformations-to-improve-rag-11adca9b19d1
RAG evaluation metrics: UniEval, BLEU, ROUGE & more — Search Labs
https://www.elastic.co/search-labs/blog/evaluating-rag-metrics
Introducing Query Pipelines — LlamaIndex, Data Framework for LLM Applications
https://www.llamaindex.ai/blog/introducing-query-pipelines-025dc2bb0537
LlamaIndex RAG-AGENT: Query and summarize over database. | by Iva @
Tesla Institute | Medium
https://medium.com/@ivavrtaric/llamaindex-rag-agent-query-and-summarize-over-database-dad199e8845b
LlamaIndex: How To Evaluate Your RAG (Retrieval Augmented Generation)
Applications | by Ryan Nguyen | Better Programming
https://betterprogramming.pub/llamaindex-how-to-evaluate-your-rag-retrieval-augmented-generation-applications-2c83490f489
Understanding Text Chunking for the LLM Application | by Ashu Goel | Medium
https://medium.com/@ashu.goel_9925/understanding-text-chunking-for-the-llm-application-da59cbc2855b
The End of Retrieval Augmented Generation? Emerging Architectures
Signal a Shift | by Eric Risco | Medium
https://medium.com/@erisco_and/the-end-of-retrieval-augmented-generation-emerging-architectures-signal-a-shift-fdf0aad74d50
Knowledge Graph Prompting: A New Approach for Multi-Document Question
Answering | by Anthony Alcaraz | Medium
https://medium.com/@alcarazanthony1/knowledge-graph-prompting-a-new-approach-for-multi-document-question-answering-ab5c4006a429
2024 : Year Of The RAG. If 2023 was all about foundational LLMs… | by
Alden Do Rosario | Predict | Medium
https://medium.com/predict/2024-year-of-the-rag-581f7fd423f4
Reflection Agents With LangGraph | Agentic LLM Based Applications | by
Prince Krampah | 𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨 | Medium
https://medium.com/aimonks/reflection-agents-with-langgraph-agentic-llm-based-applications-87e43c27adc7
Multimodal RAG pipeline with LlamaIndex and Neo4j — LlamaIndex, Data
Framework for LLM Applications
https://www.llamaindex.ai/blog/multimodal-rag-pipeline-with-llamaindex-and-neo4j-a2c542eb0206
RAG Pipeline Pitfalls: The Untold Challenges of Embedding Table | by
Ryan Nguyen | Towards AI
https://pub.towardsai.net/rag-pipeline-pitfalls-the-untold-challenges-of-embedding-table-5296b2d8230a
Mastering ReAct Prompting: A Crucial Step in LangChain Implementation
— A Guided Example for Agents | by Mastering LLM (Large Language
Model) | GoPenAI
https://blog.gopenai.com/mastering-react-prompting-a-crucial-step-in-langchain-implementation-a-guided-example-for-agents-efdf1b756105
9 Effective Techniques To Boost Retrieval Augmented Generation (RAG)
Systems | by Ahmed Besbes | Towards Data Science
https://towardsdatascience.com/9-effective-techniques-to-boost-retrieval-augmented-generation-rag-systems-210ace375049
Graph-Based Prompting and Reasoning with Language Models | by Cameron
R. Wolfe, Ph.D. | Towards Data Science
https://towardsdatascience.com/graph-based-prompting-and-reasoning-with-language-models-d6acbcd6b3d8
7 Fine-Tuning Strategies for LLM: Techniques, Tips and Best Practice |
by Ryan Nguyen | Python in Plain English
https://python.plainenglish.io/7-fine-tuning-strategies-for-llm-techniques-tips-and-best-practice-6612f78bb32c
Multimodal RAG using Langchain Expression Language And GPT4-Vision |
by Plaban Nayak | AI Planet
https://medium.aiplanet.com/multimodal-rag-using-langchain-expression-language-and-gpt4-vision-8a94c8b02d21
Demonstrate, Search, Predict (DSP) for LLMs | by Cobus Greyling | Medium
https://cobusgreyling.medium.com/demonstrate-search-predict-dsp-for-llms-c06edaa78534
Choosing the Right Embedding Model: A Guide for LLM Applications | by
Ryan Nguyen | Medium
https://medium.com/@ryanntk/choosing-the-right-embedding-model-a-guide-for-llm-applications-7a60180d28e3
MultiHop-RAG. A recent direction in RAG architecture… | by Cobus
Greyling | Medium
https://cobusgreyling.medium.com/multihop-rag-1c695794eeda
Advanced RAG Techniques: an Illustrated Overview | by IVAN ILIN | Towards AI
https://pub.towardsai.net/advanced-rag-techniques-an-illustrated-overview-04d193d8fec6
The Power of ChatGPT Function Calling | by Sujeeth Shetty | Medium
https://sujeethshetty.com/chatgpt-function-calling-expanding-the-horizons-of-ai-development-733406ef852e
12 RAG Pain Points and Proposed Solutions | by Wenqi Glantz | Towards
Data Science
https://towardsdatascience.com/12-rag-pain-points-and-proposed-solutions-43709939a28c
Agentic RAG With LlamaIndex — LlamaIndex, Data Framework for LLM Applications
https://www.llamaindex.ai/blog/agentic-rag-with-llamaindex-2721b8a49ff6
Beyond RAG: Network Analysis through LLMs for Knowledge Extraction |
by Andrea D'Agostino | Towards Data Science
https://towardsdatascience.com/beyond-rag-network-analysis-through-llms-for-knowledge-extraction-4d107eb5282d
Advanced RAG with LlamaIndex & Together.ai’s Embedding | by Ankush k
Singal | AI Advances
https://ai.gopubby.com/advanced-rag-with-llamaindex-together-ais-embedding-dfb7aca94963
RAG in Action: Beyond Basics to Advanced Data Indexing Techniques | by
Ryan Nguyen | Towards AI
https://pub.towardsai.net/rag-in-action-beyond-basics-to-advanced-data-indexing-techniques-b7e07e3f5e43
Agentic RAG With LlamaIndex — LlamaIndex, Data Framework for LLM Applications
https://www.llamaindex.ai/blog/agentic-rag-with-llamaindex-2721b8a49ff6
9 Methods to Enhance the Performance of a LLM RAG Application | by Tam
Nguyen | Medium
https://tam159.medium.com/9-methods-to-enhance-the-performance-of-a-llm-rag-application-3bedfdc842e1
Automating data analytics with ChatGPT | by James Nguyen | Data
Science at Microsoft | Medium
https://medium.com/data-science-at-microsoft/automating-data-analytics-with-chatgpt-827a51eaa2c
Prompt-RAG: Vector Embedding Free Retrieval-Augmented Generation | by
Cobus Greyling | Medium
https://cobusgreyling.medium.com/prompt-rag-vector-embedding-free-retrieval-augmented-generation-c37446b43cdd
UniMS-RAG: Unified Multi-Source RAG for Personalised Dialogue | by
Cobus Greyling | Medium
https://cobusgreyling.medium.com/unims-rag-unified-multi-source-rag-for-personalised-dialogue-2230ae4170c6
Seven RAG Engineering Failure Points | by Cobus Greyling | Medium
https://cobusgreyling.medium.com/seven-rag-engineering-failure-points-02ead9cc2532
Adding Noise Improves RAG Performance | by Cobus Greyling | Medium
https://cobusgreyling.medium.com/adding-noise-improves-rag-performance-b27627622f88
Craft Successful Conversational User Interfaces: Align User Intent
With Developed Intent | by Cobus Greyling | Medium
https://cobusgreyling.medium.com/craft-successful-conversational-user-interfaces-align-user-intent-with-developed-intent-f574bb9a405e
The Chain-Of-X Phenomenon In LLM Prompting | by Cobus Greyling | Medium
https://cobusgreyling.medium.com/the-chain-of-x-phenomenon-in-llm-prompting-efa7831d093d
Least To Most Prompting. Least To Most Prompting for Large… | by Cobus
Greyling | Medium
https://cobusgreyling.medium.com/least-to-most-prompting-b37ed2e19859#:~:text=Hence%20a%20novel%20prompting%20strategy,each%20of%20these%20sub%2Dquestions.
Navigating the World of LLM Agents: A Beginner’s Guide | by Dominik
Polzer | Towards Data Science
https://towardsdatascience.com/navigating-the-world-of-llm-agents-a-beginners-guide-3b8d499db7a9
Self-Consistency For Chain-Of-Thought Prompting | by Cobus Greyling | Medium
https://cobusgreyling.medium.com/self-consistency-for-chain-of-thought-prompting-b3fba7eeaf27
Building an AI Assistant with DSPy | by Lak Lakshmanan | Towards Data Science
https://towardsdatascience.com/building-an-ai-assistant-with-dspy-2e1e749a1a95
Knowledge Graphs in RAGs (with Llama-Index) | by Philemon Kiprono | Medium
https://medium.com/@leighphil4/knowledge-graphs-in-rags-with-llama-index-85830c0cbcc5
Fixing Hallucination with Knowledge Bases | Pinecone
https://www.pinecone.io/learn/series/langchain/langchain-retrieval-augmentation/
Advanced RAG 06: Exploring Query Rewriting | by Florian June | Medium
https://medium.com/@florian_algo/advanced-rag-06-exploring-query-rewriting-23997297f2d1
Advanced RAG 05: Exploring Semantic Chunking | by Florian June | Towards AI
https://pub.towardsai.net/advanced-rag-05-exploring-semantic-chunking-97c12af20a4d
General Tips for Prompt Engineering - Instructor
https://jxnl.github.io/instructor/concepts/prompting/#modular-chain-of-thought
3 Advanced Document Retrieval Techniques To Improve RAG Systems | by
Ahmed Besbes | Towards Data Science
https://towardsdatascience.com/3-advanced-document-retrieval-techniques-to-improve-rag-systems-0703a2375e1c
Steering Large Language Models with Pydantic | Pydantic
https://pydantic.dev/articles/llm-intro?x=42
Advance RAG- Improve RAG performance | Medium
https://luv-bansal.medium.com/advance-rag-improve-rag-performance-208ffad5bb6a
RAG optimisation: use an LLM to chunk your text semantically. | by
Jettro Coenradie | Jul, 2024 | Medium
https://jettro.dev/rag-optimisation-use-an-llm-to-chunk-your-text-semantically-ac768f1566d0
Implementation of LLM Agents: Should You Opt for LangChain? What
Complexities Does LangChain Conceal? | by Xinzhe Li, PhD in Language
Intelligence | Level Up Coding
https://levelup.gitconnected.com/implementation-of-llm-agents-should-you-opt-for-langchain-8e7fec937a58
LLM Auto-Prompt & Chaining. Using DSPy with GPT 3.5 on Azure | by Paul
Bruffett | Medium
https://paul-bruffett.medium.com/llm-auto-prompt-chaining-60924329833f
Production Issues In Modern RAG Systems | AIGuys
https://medium.com/aiguys/solving-production-issues-in-modern-rag-systems-b7c31802167c