Jo Kristian Bergum sur X : "BM25 is maybe all you need for reasoning-intensive retrieval at scale" / X
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Jerry Liu sur X : "...agents need the right retrieval tools in order to access massive amount of enterprise context. Blog post by @thesourabhd showing a universal retrieval interface " / X
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2025-05-31 About
Antoine Chaffin sur X : "Reasoning intensive retrieval is the future..."
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2025-05-29 About
Jo Kristian Bergum sur X : "2024 in review: - The rise of VLMs for retrieval (ColPali) - The year of late-interaction (Col) - (V)LMs as rankers - Token cost race to zero + context cache - RAG is dead, long live RAG - Vector db as a category died - The rise of BM25 - BQ Binarization rediscovered" / X
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2024-12-18 About
Beyond Text: The Rise of Vision-Driven Document Retrieval for RAG | Vespa Blog
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2024-11-10 About
Akshay sur X : "Auto-Document Retrieval..."
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2024-09-07 About
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 About
LlamaIndex 🦙 sur X : "RAFT - Retrieval Augmented Fine Tuning..."
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2024-03-28 About
Jerry Liu sur X : "Build a RAG backend over any website in a single CLI command ..."
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2024-02-03 About
Ravi Theja sur X : "Propositions as Chunks to Improve RAG Performance with @llama_index..."
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2024-01-02 About
LlamaIndex 🦙 sur X : "A big issue with RAG is that stuffing more context ≠ better...
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2023-11-07 About
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 About
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 About
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 About
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 About
Jerry Liu sur X : "8 key considerations for building *production-grade* LLM apps over your data (RAG)..."
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2023-08-20 About
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 About
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 About
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 About
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 About
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 About
Jerry Liu sur Twitter : "The DSP project carries a lot of insights for improving RAG..."
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2023-06-18 About
Zexuan Zhong sur Twitter : ...Does this really mean dense models are better? No Our #EMNLP2021 paper shows dense retrievers even fail to answer simple entity-centric questions
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2021-10-07 About
Hugging Face sur Twitter : "Transformers release of the Retrieval-Augmented Generation model in collaboration with @facebookai!"
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2021-02-23 About