Spring AI Modular RAG + TypeSafe AI Jev 🧩

LLMs rewrite and expand the query. Vector search finds 6 chunks. #Jev keeps the 2 that actually answer it.

📝 Blog: spring.io/blog/2026/10...
🎤 At @devoxx.com next week? Join my deep dive: m.devoxx.com/events/dvbe2...

#RAG #Java #SpringAI

RAG、ベクターデータベース、MCPをつないで考えたこと
https://papoo.work/doc/9ac64960fa4f374c
#rag #ベクターデータベース #mcp #ai #検索システム

"RAG That You Can Trust: Building Accurate and Secure AI Applications on AWS" by Devanshi Jain

#agentic-ai #generative-ai #rag #agents #amazon-bedrock-agentcore

AgenticRAGの判断をJevにしたら、爆速にはならなかったけど主導権が返ってきた

#AWS #rag #Jev #AIエージェント #AI

Open-source AI: PageIndex does RAG with reasoning instead of vectors. No Pinecone, no embedding bills, runs 100% locally.

Full setup in Telegram: https://t.me/synthesis_feed #ai #tech #opensource #rag #coding #devtools

"I Finally Understood RAG: Giving AI the Right Information 🤖☁️" by BUBAGANESH B

#generative-ai #amazon-bedrock #rag #amazon-cloudfront #beginner-projects

🚨 Building a local RAG app in C#?
Part 4: Next steps with Ollama + Qdrant fully local, more complete! 🤖📚
Guide: www.ottorinobruni.com/build-local-...
Following the series? 👇
#dotnet #CSharp #RAG #Ollama

Crawl once, fan out everywhere! 🌊⚡

Apache SeaTunnel is now native in OpenCrawling:
• Fan out to 100+ targets (Iceberg, ClickHouse, Milvus, Qdrant)
• Decoupled Kafka stream + Zeta REST v2
• CDC DELETE tombstones to prevent RAG hallucinations

opencrawling.org/blog/introdu...

#AI #RAG

Day 82/100 of #100DaysWithAI 🌳

PageIndex drops vectors: an LLM reasons down a document's section tree, like finding a chapter in a handbook. Similarity ≠ relevance.

🔗 https://github.com/aurimas13/100-Days-With-AI

#LearningInPublic #RAG

🤝 Claude Code-assisted, reviewed by me.

Perplexity just dropped a new embedding model that beats Voyage while using vectors 8× smaller. Think faster RAG, tighter context, and smoother late‑chunking. Curious how turbopuffer fits in? Dive in for the full breakdown. #Perplexity #EmbeddingModel #RAG

🔗 aidailypost.com/news/perplex...

The part of this article I’d actually trust
https://papoo.work/doc/addd14a6d00210db
#claudenews #rag #vectordatabases #mcp

https://lckhd.eu/qIZK6J

#S3Vectors #VectorSearch #RAG

If your vector index has tenant-specific data and you run a tenant-scoped query asking for 10 results, you may have only gotten 1 or 2 back. In this case, the filter was applied during the similarity search. A tenant with little data in a

"What I learned as an AI intern building a chatbot" by Janaina Figueiredo da Silva

#generative-ai #prompt-engineering #rag #career #students

En #RAG, el retrieval muchas veces define la calidad de la respuesta. Y no hay una «mejor vector database».

Si ya tienes PostgreSQL, #pgvector puede bastar. Para búsqueda híbrida, Qdrant, Weaviate o Elasticsearch. Con escala de verdad, Milvus, Pinecone o Vespa.

Una llamada a un #LLM parece barata. Hasta que sumas documentos largos y miles de solicitudes.

7 palancas: comprimir instrucciones, caché semántica y de prompts, modelo adecuado por tarea, menos contexto en #RAG, lotes y respuestas cortas.

Pero antes, mide dónde se va el gasto.

New paper benchmarks six open-source RAG systems for software vulnerability detection, tackling fragmented datasets and proprietary models to improve reproducibility across LLM-based security tools. A…

#OpenSourceAI #RAG #VulnerabilityDetection #SoftwareSecurity
https://arxiv.org/abs/2609.37669

"🧠 Give Your AI Its Own Knowledge: RAG with Amazon Bedrock" by Swarali Chine

#amazon-bedrock #rag #amazon-s3-vectors #gen-ai

Should you read the code, is #RAG dead, and did Skills kill #MCP? buff.ly/8WQnbmB #ai

The part of this article I’d actually trust
https://papoo.work/doc/addd14a6d00210db
#claudenews #rag #vectordatabases #mcp

¿Por qué una demo de #IA funciona y luego falla en producción?

En la demo los datos son perfectos. Con usuarios reales, no.

Antes de escalar revisa: entradas, recuperación (#RAG), evals, monitoreo más allá del 200 OK, costes, deriva, prompts versionados y errores entre etapas.