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From RAG Prototype to Production: Why We Wrote “Hands-On RAG for Production”
Read the new book on all things agentic RAG
Context Engineering: Can you trust long context?
Context Engineering is emerging as the evolution of prompt engineering. Yet larger context windows can backfire: too many tokens invite noise, contradictions, and diminishing returns.
Searching Hacker News
The Hacker News startup community website deserves better search
Improving Customer Support with AI: A Deep Dive into Conversational AI
Discover the transformative impact of Conversational AI, including its evolution, current trends, and role in revolutionizing customer support. If you’re thinking about why and how to adopt this technology for customer support, we offer some insights
Retrieval Augmented Generation Buyer's Guide
Regardless of whether you are considering building or buying a RAG solution, you need to understand the players, their offerings, where they accel, and where they are still trying to catch up
Retrieval Augmented Generation (RAG) Done Right: Document Stores
Building a RAG pipeline with Vectara and Elasticsearch
Retrieval Augmented Generation (RAG) Done Right: Database Data
Ingesting data from your database into Vectara: a step by step guide.
Get Diverse Results and Comprehensive Summaries with Vectara’s MMR Reranker
Today, we’re incredibly excited to announce that we’re releasing a new “reranking” capability built into Vectara: one that’s focused on increasing the amount of diversity of the results near the top of the result list.
Retrieval Augmented Generation (RAG) Done Right: Retrieval
In RAG, retrieving the right facts from your data is crucial, and choosing the right embedding model to power your retrieval matters!
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