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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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100 Days of Generative AI - Building Your First RAG Application Using Open-Source tools: Day 8
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100 Days of Generative AI - Building Your First RAG Application Using Open-Source tools: Day 8

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5 min read
AI-Powered Bot using Vectorized knowledge Architecture

AI-Powered Bot using Vectorized knowledge Architecture

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4 min read
Construyendo un Motor de Búsqueda Multimodal con Amazon Titan Embeddings, Aurora Serveless PostgreSQL y LangChain
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Construyendo un Motor de Búsqueda Multimodal con Amazon Titan Embeddings, Aurora Serveless PostgreSQL y LangChain

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4 min read
De Notebook a Serverless: Creando un Motor de Búsqueda Multimodal con Amazon Bedrock y PostgreSQL
Cover image for De Notebook a Serverless: Creando un Motor de Búsqueda Multimodal con Amazon Bedrock y PostgreSQL

De Notebook a Serverless: Creando un Motor de Búsqueda Multimodal con Amazon Bedrock y PostgreSQL

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4 min read
Deploying Serverless Embedding App with AWS CDK, Lambda and Amazon Aurora PostgreSQL
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Deploying Serverless Embedding App with AWS CDK, Lambda and Amazon Aurora PostgreSQL

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6 min read
Building a Multimodal Search Engine with Amazon Titan Embeddings, Aurora Serveless PostgreSQL and LangChain
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Building a Multimodal Search Engine with Amazon Titan Embeddings, Aurora Serveless PostgreSQL and LangChain

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4 min read
PGVector's Missing Features
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PGVector's Missing Features

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4 min read
Quick tip: Build Vector Embeddings for Video via Python Notebook & OpenAI CLIP
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Quick tip: Build Vector Embeddings for Video via Python Notebook & OpenAI CLIP

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7 min read
AIM Weekly 02 September 2024
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AIM Weekly 02 September 2024

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2 min read
Help: creating Anthropic based OpenAI Assistants-like API

Help: creating Anthropic based OpenAI Assistants-like API

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1 min read
Vector Streaming with EmbedAnything
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Vector Streaming with EmbedAnything

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4 min read
How to choose a vector database: Pinecone, Weaviate, MongoDB Atlas, SemaDB

How to choose a vector database: Pinecone, Weaviate, MongoDB Atlas, SemaDB

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2 min read
How to build a movie recommendation app without the complexities of vector databases
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How to build a movie recommendation app without the complexities of vector databases

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7 min read
Mocking an LLM Embedder Targeting MongoDB Atlas

Mocking an LLM Embedder Targeting MongoDB Atlas

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8 min read
Retrieval Augmented Generation with Citations

Retrieval Augmented Generation with Citations

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5 min read
🌐 MongoDB在金融行业: 向量搜索和ACID事务 💰
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🌐 MongoDB在金融行业: 向量搜索和ACID事务 💰

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1 min read
d[IA]gnosis: developing RAG applications with IRIS for Healt

d[IA]gnosis: developing RAG applications with IRIS for Healt

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5 min read
Qdrant Explained: The Future of Vector Databases

Qdrant Explained: The Future of Vector Databases

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7 min read
A Beginner's Practical Guide to Vector Database: ChromaDB
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A Beginner's Practical Guide to Vector Database: ChromaDB

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2 min read
Word Embeddings in NLP
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Word Embeddings in NLP

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5 min read
RAG - Powered
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RAG - Powered

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9 min read
Embeddings index format for open data access

Embeddings index format for open data access

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5 min read
AIM Weekly for 29 July 2024
Cover image for AIM Weekly for 29 July 2024

AIM Weekly for 29 July 2024

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4 min read
Vector Library versus Vector Database

Vector Library versus Vector Database

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7 min read
d[IA]gnosis: Vectorizing Diagnostics with Embedded Python and LLM Models

d[IA]gnosis: Vectorizing Diagnostics with Embedded Python and LLM Models

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5 min read
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