LLM AND Retrieval-based NLP
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82 Documents
HyDE based semantic search enabled on the OpenAI forum
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2024-04-21 A propos
NER using DSPy
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2024-04-12 A propos
LlamaIndex sur X : "Save Memory (and Money) in RAG pipeline with @Cohere 's Int8 and Binary Embeddings..."
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2024-03-30 A propos
Leonie sur X : "Ollama allows you to run open source LLMs LOCALLY..."
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2024-03-30 A propos
DSPy Cheatsheet | DSPy
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2024-03-30 A propos
LlamaIndex 🦙 sur X : "An emerging technique to better represent your data for RAG/LLM applications is to only chunk the data, but also hierarchically cluster and index it..."
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2024-03-30 A propos
LlamaIndex 🦙 sur X : "RAFT - Retrieval Augmented Fine Tuning..."
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2024-03-28 A propos
Enhancing RAG-based application accuracy by constructing and leveraging knowledge graphs
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2024-03-16 A propos
Command-R: RAG at Production Scale
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2024-03-13 A propos
Nils Reimers sur X : "Embeddings can store only 1 aspect/topic per embedding well."
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2024-03-13 A propos
RAG makes LLMs better and equal | Pinecone
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2024-03-13 A propos
What you should know about RAG (from beginner to advanced) | by Jonathan Nguyen | Medium
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2024-03-11 A propos
RAG CLI - LlamaIndex
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2024-03-10 A propos
Akshay 🚀 sur X : "Let's build a "Chat with your code" RAG application, step-by-step"
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2024-03-09 A propos
Krista Opsahl-Ong sur X : "Got a pipeline with **multiple prompts**, like a DSPy program? ... Introducing MIPRO, a Multi-prompt Instruction Proposal Optimizer...."
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2024-03-09 A propos
Hrishi sur X : "RAPTOR is... one of the very few [RAG architectures] that actively presumes and uses the structure in a document...."
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2024-03-09 A propos
Hrishi sur X : "WalkingRAG is finally out!..."
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2024-03-09 A propos
GraphRAG: Unlocking LLM discovery on narrative private data - Microsoft Research
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2024-03-07 A propos
How to Build a RAG System With LlamaIndex, OpenAI, and MongoDB Vector Database | MongoDB
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2024-03-03 A propos
Jerry Liu sur X : "To better augment LLMs with context, it makes a lot of sense to organize context not just as a flat list of text chunks, but as a hierarchy of high-level to low-level details. RAPTOR..."
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2024-03-03 A propos
Intro to DSPy: Goodbye Prompting, Hello Programming! | by Leonie Monigatti | Feb, 2024 | Towards Data Science
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2024-03-01 A propos
Ravi Theja sur X : "𝐀𝐜𝐭𝐢𝐯𝐞𝐑𝐀𝐆: 𝐑𝐞𝐯𝐞𝐚𝐥𝐢𝐧𝐠 𝐭𝐡𝐞 𝐓𝐫𝐞𝐚𝐬𝐮𝐫𝐞𝐬 𝐨𝐟 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐯𝐢𝐚 𝐀𝐜𝐭𝐢𝐯𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠..."
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2024-02-25 A propos
Jerry Liu sur X : "a big step towards better RAG... is to just have a really nice PDF parser. It’s so important because a good parser unlocks way more interesting indexing/retrieval strategies…"
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2024-02-23 A propos
Jerry Liu sur X : "Build a RAG backend over any website in a single CLI command ..."
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2024-02-03 A propos
bclavie/RAGatouille
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2024-01-26 A propos
LlamaIndex 🦙 sur X : "Use RAG to build advanced text-to-SQL..."
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2024-01-24 A propos
Jerry Liu sur X : "4 Levels of Agents for RAG..."
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2024-01-23 A propos
LlamaIndex: "Instead of using a global fixed chunk size for RAG, try splitting based on the semantics of the text"
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2024-01-13 A propos
Vahid Panjganj sur X : "The problem with RAG is that the retrieval is based on words used in the query. For instance, if I vectorise a cook book. And then ask for recipes for a lactose-intolerant person..."
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2024-01-13 A propos
Ravi Theja sur X : "Propositions as Chunks to Improve RAG Performance with @llama_index..."
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2024-01-02 A propos
Omar Khattab sur X : "...Let's use 30 lines of DSPy—without any hand-written prompts or any calls to OpenAI ($0)—to teach..."
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2024-01-01 A propos
Full-stack RAG with Jina Embeddings v2 and LlamaIndex
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2023-12-23 A propos
[2312.10997] Retrieval-Augmented Generation for Large Language Models: A Survey
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2023-12-23 A propos
Jerry Liu sur X : "Naive chunking strategies cause poor RAG performance...."
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2023-12-06 A propos
Jerry Liu sur X : "There's different ways you can parse embedded tables for RAG..."
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2023-12-02 A propos
LlamaIndex 🦙 sur X : "A big issue with RAG is that stuffing more context ≠ better...
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2023-11-07 A propos
Jerry Liu sur X : "Advanced RAG architectures need to implement dynamic retrieval..."
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2023-10-22 A propos
Self-RAG: Learning to Retrieve, Generate and Critique through Self-Reflection
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2023-10-20 A propos
L. Dietz @deeds@mastodon.social @dietz@idf.social sur X : "How to evaluate RAG / RACAS (Retrieval-Augmented-Clustering-Augmented-Summarization) systems for Article Generation..."
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2023-10-20 A propos
Jerry Liu sur X : "Using LLMs for automated decision making (routing) is a huge part of an advanced RAG/agent app But LLMs are expensive and slow... Fine-tune embeddings instead"
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2023-10-19 A propos
[2310.03025] Retrieval meets Long Context Large Language Models
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2023-10-07 A propos
Fine-tuning with Retrieval Augmentation - LlamaIndex
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2023-10-07 A propos
[2310.01352] RA-DIT: Retrieval-Augmented Dual Instruction Tuning
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2023-10-07 A propos
Jerry Liu sur X : "The idea of “small-to-big” retrieval: - retrieve on smaller pieces, expand into more context for LLM synthesis..."
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2023-10-02 A propos
Rohan sur X : "Multi Document Agent architecture (v0) in @llama_index... allows answering broader set of questions over multiple documents..."
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2023-10-02 A propos
Rohan sur X : "smaller chunks are good for capturing semantic meaning and larger ones are good for providing better context. @llama_index AutoMergingRetriever takes it one step further..."
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2023-09-30 A propos
Jerry Liu sur X : "evaluating RAG: purely evaluating retrieval metrics (MRR, precision) isn’t the whole picture - you need end-to-end response evals..."
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2023-09-26 A propos
Fine-Tuning Your Embedding Model to Maximize Relevance Retrieval in RAG Pipeline | by Wenqi Glantz | Sep, 2023 | Better Programming
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2023-09-13 A propos
How to Optimize Retrieval-Augmented Generation
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2023-09-08 A propos
Inside DSPy: The New Language Model Programming Framework You Need… – Towards AI
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2023-09-06 A propos
Jerry Liu sur X : "A simple trick to improve retrieval for RAG 💡: Embed “references” to each text chunk instead of the chunk itself (e.g. smaller chunks, summaries)..."
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2023-09-06 A propos
Building Performant RAG Applications for Production - LlamaIndex
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2023-08-30 A propos
Jerry Liu sur X : "how do you get a good retrieval dataset w/o spending a ton of money on human labels? Answer: use LLMs"
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2023-08-30 A propos
Jerry Liu sur X : "This might be the first time ChatGPT (+@jxnlco) helped us come up with a better retrieval algorithm for RAG..."
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2023-08-28 A propos
Jerry Liu sur X : "One major way to improve your RAG system is to fine-tune your embedding model"
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2023-08-25 A propos
Omar Khattab sur X : "Announcing 𝗗𝗦𝗣y..."
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2023-08-24 A propos
Yi Ding -- prod/acc sur X : "First is best for retrieval when using ChatGPT models."
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2023-08-23 A propos
Comparing Methods for Structured Retrieval (Auto-Retrieval vs. Recursive Retrieval) - LlamaIndex 🦙 0.8.6
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2023-08-23 A propos
Jerry Liu sur X : "8 key considerations for building *production-grade* LLM apps over your data (RAG)..."
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2023-08-20 A propos
Knowledge Graph RAG Query Engine - LlamaIndex
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2023-08-17 A propos
Jerry Liu on X: “Graph RAG” in @llama_index: a new method of augmenting LLMs with context from a graph database
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2023-08-17 A propos
Knowledge Graphs & LLMs: Fine-Tuning Vs. Retrieval-Augmented Generation | by Tomaz Bratanic | Neo4j Developer Blog (June 6 2023)
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2023-08-13 A propos
LlamaIndex: Harnessing the Power of Text2SQL and RAG to Analyze Product Reviews | by Ravi Theja | LlamaIndex Blog | Aug, 2023 | Medium
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2023-08-13 A propos
Jerry Liu sur Twitter : "Some critical data considerations that you must take into account to make your LLM application production-ready"
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2023-07-23 A propos
Jerry Liu sur Twitter : "Using cross-encoding as a reranking step can dramatically speed up LLM inference time AND improve accuracy!"
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2023-07-20 A propos
Jerry Liu sur Twitter : Hot take: if you want to... deliver technical differentiation, you will need to learn LLM development in a “bottoms-up” fashion
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2023-07-16 A propos
Jerry Liu sur Twitter : "If you’re building “chat over your PDFs” with LLMs, you need to deal with the pesky issue of how to parse embedded tables/diagrams..."
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2023-07-07 A propos
[2212.14024] Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
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2023-06-23 A propos
Jerry Liu sur Twitter : "The DSP project carries a lot of insights for improving RAG..."
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2023-06-18 A propos
Build Industry-Specific LLMs Using Retrieval Augmented Generation | by Skanda Vivek | May, 2023 | Towards Data Science
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2023-06-16 A propos
Retrieval-augmented LMs, and prompting
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2023-06-16 A propos
Retrieval Augmented Generation (RAG) | Prompt Engineering Guide
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2023-06-16 A propos
LangChain Retrieval Webinar - YouTube
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2023-05-27 A propos
Jerry Liu sur Twitter : "To evaluate retrieval-augmented LLM’s, we can compare the query/response/source context to see if they match. We just added this to @gpt_index..."
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2023-04-11 A propos
stanfordnlp/dspy: 𝗗𝗦𝗣: Demonstrate-Search-Predict. A framework for composing retrieval and language models for knowledge-intensive NLP.
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2023-02-18 A propos
Guiding Frozen Language Models with Learned Soft Prompts – Google AI Blog
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2023-02-14 A propos
deepset sur Twitter : " Generative models have taken the world of NLP by storm. But LLMs do not know about your personal data. This makes personal assistants, enterprise knowledge management and many other applications challenging. Retrieval augmented pipelines are the answer"
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2023-02-02 A propos
[2207.06300] Re2G: Retrieve, Rerank, Generate
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2022-07-14 A propos
[2108.13934] Robust Retrieval Augmented Generation for Zero-shot Slot Filling
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2022-01-19 A propos
[2005.11401] Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
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2022-01-19 A propos
Hugging Face sur Twitter : "Transformers release of the Retrieval-Augmented Generation model in collaboration with @facebookai!"
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2021-02-23 A propos
Retrieval Augmented Generation with Huggingface Transformers and Ray | Distributed Computing with Ray
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2021-02-11 A propos