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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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AIM Weekly 19 August 2024
tspannhw profile

AIM Weekly 19 August 2024

#milvus #opensource #vectordatabase #genai
5
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8 min read
Word-embedding-with-Python: doc2vec
ragoli86 profile

Word-embedding-with-Python: doc2vec

#genai #vectordatabase #python
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2 min read
Exploring Word Embeddings: python implementation of Word2Vec and GloVe in Vector Databases
ragoli86 profile

Exploring Word Embeddings: python implementation of Word2Vec and GloVe in Vector Databases

#genai #machinelearning #vectordatabase
1
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5 min read
Semantic Search and Algorithms
ragoli86 profile

Semantic Search and Algorithms

#ai #genai #vectordatabase
2
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3 min read
From Notebook to Serverless: Creating a Multimodal Search Engine with Amazon Bedrock and PostgreSQL
elizabethfuentes12 profile

From Notebook to Serverless: Creating a Multimodal Search Engine with Amazon Bedrock and PostgreSQL

#vectordatabase #postgressql #aws #rag
5
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3 min read
Desplegando una Aplicación de Embeddings Serverless con AWS CDK, Lambda y Amazon Aurora PostgreSQL
elizabethfuentes12 profile

Desplegando una Aplicación de Embeddings Serverless con AWS CDK, Lambda y Amazon Aurora PostgreSQL

#aws #python #vectordatabase #rag
5
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6 min read
Vector Databases vs Graph Databases: Which is Best for Retrieval-Augmented Generation (RAG)?
abhinowww profile

Vector Databases vs Graph Databases: Which is Best for Retrieval-Augmented Generation (RAG)?

#ai #machinelearning #vectordatabase #learning
11
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4 min read
100 Days of Generative AI - Building Your First RAG Application Using Open-Source tools: Day 8
lakhera2015 profile

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

#llm #ai #vectordatabase #machinelearning
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5 min read
AI-Powered Bot using Vectorized knowledge Architecture
ragoli86 profile

AI-Powered Bot using Vectorized knowledge Architecture

#genai #rag #vectordatabase
1
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4 min read
Construyendo un Motor de Búsqueda Multimodal con Amazon Titan Embeddings, Aurora Serveless PostgreSQL y LangChain
elizabethfuentes12 profile

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

#aws #python #vectordatabase #rag
2
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4 min read
De Notebook a Serverless: Creando un Motor de Búsqueda Multimodal con Amazon Bedrock y PostgreSQL
elizabethfuentes12 profile

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

#vectordatabase #postgressql #aws #rag
1
Comments
4 min read
Deploying Serverless Embedding App with AWS CDK, Lambda and Amazon Aurora PostgreSQL
elizabethfuentes12 profile

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

#aws #python #rag #vectordatabase
2
Comments
6 min read
Building a Multimodal Search Engine with Amazon Titan Embeddings, Aurora Serveless PostgreSQL and LangChain
elizabethfuentes12 profile

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

#aws #python #vectordatabase #rag
1
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4 min read
PGVector's Missing Features
skeptrune profile

PGVector's Missing Features

#rag #vectordatabase #postgres #ai
37
Comments 2
4 min read
Quick tip: Build Vector Embeddings for Video via Python Notebook & OpenAI CLIP
veryfatboy profile

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

#singlestoredb #vectordatabase #openai #python
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7 min read
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