#reranking

@rosgluk.bsky.social

2 weeks ago

Retrieval-Augmented Generation (RAG) Tutorial: Architecture, Implementation, and Production Guide Step-by-step RAG tutorial: build retrieval-augmented generation systems with vector databases, hybrid search, reranking, and web search. Architecture, implementation, and production best practices.

Retrieval-Augmented Generation (RAG) Tutorial: Architecture, Implementation, and Production Guide:
www.glukhov.org/rag/
#AI #LLM #RAG #Embeddings #Reranking #VectorDatabase

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clouatre.ca.web.brid.gy

@clouatre.ca.web.brid.gy

1 month ago

RAG for Legacy Systems: 7,432 Pages to 3s Answers Production RAG for legacy systems: model-agnostic reranking validated across 4 LLM families. Real metrics, no vendor lock-in, 7,432 pages to 3s queries.

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Latitude77

@latitude77.bsky.social

5 months ago

The RAG Obituary: Killed by Agents, Buried by Context Windows #rag #llms #generativeai #limits #context #chunking #embeddings #reranking #complexity #retrieval #investigation #claudecode #files #grep

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Latitude77

@latitude77.bsky.social

7 months ago

rerank-2.5 and rerank-2.5-lite: instruction-following rerankers – Voyage AI #llms #rag #reranking #reranker

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@lofftergames.bsky.social

7 months ago

youtu.be/7hEwC-8fCCc

Seven renders. Countless edits. I fought YouTube’s copyright system all day, but my ranking of all 12 Resident Evil games I’ve played from worst to best is finally live. #ResidentEvil #ResidentEvilRequiem #HorrorGames #Gaming #RERanking

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Rost Glukhov

@rosgluk.bsky.social

8 months ago

Reranking documents with Ollama and Qwen3 Reranker model - in Go - Rost Glukhov | Personal site and technical blog Reranking text documents with Ollama and Qwen3 Reranker model - in Golang

Reranking text documents with Ollama and Qwen3 Reranker model - in Go:
www.glukhov.org/post/2025/06...
#go #ollama #rag #reranking #qwen3 #llm #ai

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Rost Glukhov

@rosgluk.bsky.social

8 months ago

Reranking text documents with Ollama and Qwen3 Embedding model - in Go - Rost Glukhov | Personal site and technical blog Reranking text documents with Ollama and Qwen3 Embedding model - in Golang

Reranking text documents with Ollama and Qwen3 Embedding model - in Golang:
www.glukhov.org/post/2025/06...
#ollama #embedding #reranking #golang #ai #llm

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LLMs

@llms.activitypub.awakari.com.ap.brid.gy

9 months ago

How MongoDB’s In-Database Tech Simplifies and Speeds RAG Workloads Retrieval-augmented generati...

www.bigdatawire.com/2025/05/22/how-mongodbs-...

#Features #embedding #model #GenAI #LLM #NoSQL #RAG #reranking #model

Result Details

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@qdrddr.bsky.social

1 year ago

Infinity serving ModernBERT model Not long ago I discovered a great project Infinity to run embeddings and reranking models locally. Fortunately, these models are typically…

𝐈𝐧𝐟𝐢𝐧𝐢𝐭𝐲 𝐒𝐞𝐫𝐯𝐢𝐧𝐠: 𝐌𝐨𝐝𝐞𝐫𝐧 #𝐁𝐄𝐑𝐓 & 𝐌𝐨𝐫𝐞
🖥️ Serve #embedding / #reranking #models locally
⚡ Leaders: BGE-ICL, Stella, ModernBERT, etc.
🎖️ Rerankers: bge, mxbai, gte
👉 Discuss: linktr.ee/qdrddr

#LLM #AI #RAG #NLP

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TMLR Published Papers

@tmlr-pub.bsky.social

1 year ago

Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism

Hippolyte Gisserot-Boukhlef, Manuel Faysse, Emmanuel Malherbe et al.

Action editor: Pavel Izmailov

https://openreview.net/forum?id=iMKUMWfRIj

#reranking #retrieval #api

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Micha the DevOp

@michabbb.bsky.social

1 year ago

Jina ColBERT v2: Multilingual Late Interaction Retriever for Embedding and Reranking Jina ColBERT v2 supports 89 languages with superior retrieval performance, user-controlled output dimensions, and 8192 token-length.

Jina Al just released Jina ColBERT v2, a Multilingual Late Interaction Retriever for #Embedding and #Reranking. The new model supports 89 languages with superior retrieval performance, user-controlled output dimensions, and 8192 token-length.

jina.ai/news/jina-co...

#ai #llm

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Posts tagged #reranking