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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Jerry Liu sur X : "Build a RAG backend over any website in a single CLI command ..."
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2024-02-03 About
LlamaIndex: "Instead of using a global fixed chunk size for RAG, try splitting based on the semantics of the text"
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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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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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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 : "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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Jerry Liu sur Twitter : "The new OpenAI Function API simplifies agent development by A LOT."
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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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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 : "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