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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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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Jerry Liu sur X : "Build a RAG backend over any website in a single CLI command ..."
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LlamaIndex: "Instead of using a global fixed chunk size for RAG, try splitting based on the semantics of the text"
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2024-01-02 About
LlamaIndex 🦙 sur X : "A big issue with RAG is that stuffing more context ≠ better...
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2023-11-07 About
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 About
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 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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Knowledge Graph RAG Query Engine - LlamaIndex
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2023-08-17 About
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 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 : "if you have access to a rich query language (e.g. SQL / any DSL), use a vector db to index additional metadata to help the LLM execute queries using this query language, while preventing prompt overflows!
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2023-07-20 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 : "Adding metadata to text can help w/ disambiguation and boost retrieval performance for LLM QA systems, using LLMs to... extract rich context to augment each chunk"
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2023-07-09 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
Jerry Liu sur Twitter : "The new OpenAI Function API simplifies agent development by A LOT."
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2023-06-15 About
Jerry Liu sur Twitter : "LLMs + knowledge graphs backed by a graph db (@NebulaGraph). New stack for retrieval-augmented generation. Now possible with @llama_index..."
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2023-06-09 About
Jerry Liu sur Twitter : "Tuning top-k for semantic search is challenging... Introducing the LlamaIndex AutoRetriever for vector databases"
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2023-05-13 About
Jerry Liu sur Twitter : "LlamaIndex... has deep integrations with @MongoDB..."
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2023-05-11 About
Jerry Liu sur Twitter : "LlamaIndex: define your *own* (simplified) hybrid search"
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2023-04-29 About
Jerry Liu sur Twitter : "Building a Unified Query Interface. @gpt_index provides a crazy amount of functionality to make data retrieval + LLM’s really good for different use cases."
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2023-04-15 About
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 About