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# vectordatabase

Vector databases are purpose-built databases that are specialized to tackle the problems that arise when managing vector embeddings in production scenarios.

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Vector Podcast: Simon Eskildsen, Turbopuffer
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Vector Podcast: Simon Eskildsen, Turbopuffer

10
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2 min read
Graph-Augmented Hybrid Retrieval and Multi-Stage Re-ranking: A Framework for High-Fidelity Chunk Retrieval in RAG Systems
Cover image for Graph-Augmented Hybrid Retrieval and Multi-Stage Re-ranking: A Framework for High-Fidelity Chunk Retrieval in RAG Systems

Graph-Augmented Hybrid Retrieval and Multi-Stage Re-ranking: A Framework for High-Fidelity Chunk Retrieval in RAG Systems

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33 min read
GraphRAG with Wikipedia and GPT OSS

GraphRAG with Wikipedia and GPT OSS

2
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10 min read
Unlocking the Potential of Vector Databases for AI Agents

Unlocking the Potential of Vector Databases for AI Agents

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4 min read
Beyond Keywords: Optimizing Vector Search With Filters and Caching (Part 2)
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Beyond Keywords: Optimizing Vector Search With Filters and Caching (Part 2)

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8 min read
Moving Your Vector Database from ChromaDB to Milvus

Moving Your Vector Database from ChromaDB to Milvus

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10 min read
Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering
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Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering

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8 min read
The Missing Link: How to Retrieve Full Documents with AWS S3 Vectors
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The Missing Link: How to Retrieve Full Documents with AWS S3 Vectors

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3 min read
Building with Generative AI: Lessons from 5 Projects Part 2: Embedding
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Building with Generative AI: Lessons from 5 Projects Part 2: Embedding

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9 min read
đź§  GenAI as a Backend Engineer: Part 2 - Vector DBs
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đź§  GenAI as a Backend Engineer: Part 2 - Vector DBs

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3 min read
Vector Database: Core Concepts
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Vector Database: Core Concepts

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4 min read
đź’ˇ What's new in txtai 9.0

đź’ˇ What's new in txtai 9.0

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5 min read
Snowflake AI_EMBED Function - Your Gateway to Unified Multimodal Vector Search

Snowflake AI_EMBED Function - Your Gateway to Unified Multimodal Vector Search

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5 min read
Sub-millisecond similarity search on IVF indexes with PDX
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Sub-millisecond similarity search on IVF indexes with PDX

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6 min read
⚡ Implementing Semantic Search (Vector Search) Using Amazon S3 Vectors

⚡ Implementing Semantic Search (Vector Search) Using Amazon S3 Vectors

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3 min read
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