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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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Should You Use IVFFlat Indexing with pgvector?

Should You Use IVFFlat Indexing with pgvector?

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2 min read
Using Pinecone and Embeddings

Using Pinecone and Embeddings

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8 min read
Quick tip: Using SingleStoreDB with LlamaIndex

Quick tip: Using SingleStoreDB with LlamaIndex

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2 min read
Image Vector Similarity Search with Azure Computer Vision and PostgreSQL

Image Vector Similarity Search with Azure Computer Vision and PostgreSQL

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13 min read
Quick tip: SingleStoreDB integration with LangChain

Quick tip: SingleStoreDB integration with LangChain

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3 min read
Using Vector Databases(Pinecone) with data(JSON,tabular).

Using Vector Databases(Pinecone) with data(JSON,tabular).

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4 min read
Building a vector database sidecar for semantic search & entity resolution

Building a vector database sidecar for semantic search & entity resolution

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7 min read
Unveiling the Hype: What Are Vector Databases and Why They're the Talk of the Town!

Unveiling the Hype: What Are Vector Databases and Why They're the Talk of the Town!

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4 min read
The Magic of Embeddings

The Magic of Embeddings

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6 min read
Understanding Vector Databases

Understanding Vector Databases

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4 min read
Quick tip: Using SingleStoreDB with ChatGPT to answer questions about the 2022 Winter Olympics

Quick tip: Using SingleStoreDB with ChatGPT to answer questions about the 2022 Winter Olympics

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2 min read
Quick tip: Using OpenAI with SingleStoreDB to store and query vectors of Fine Food Reviews

Quick tip: Using OpenAI with SingleStoreDB to store and query vectors of Fine Food Reviews

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3 min read
Customize your own embeddings database

Customize your own embeddings database

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9 min read
Quick tip: Using OpenAI Embeddings Search with SingleStoreDB

Quick tip: Using OpenAI Embeddings Search with SingleStoreDB

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5 min read
Prompt templates and task chains

Prompt templates and task chains

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4 min read
Embeddings in the Cloud

Embeddings in the Cloud

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6 min read
Prompt-driven search with LLMs

Prompt-driven search with LLMs

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6 min read
Train a language model from scratch

Train a language model from scratch

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5 min read
UI Design for Developers

UI Design for Developers

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11 min read
Understanding Amazon S3 Storage Classes

Understanding Amazon S3 Storage Classes

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5 min read
Classic Topic Modeling with BM25

Classic Topic Modeling with BM25

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5 min read
Introducing the Semantic Graph

Introducing the Semantic Graph

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9 min read
Embeddings index components

Embeddings index components

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7 min read
Run txtai in native code

Run txtai in native code

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7 min read
Pictures are a worth a thousand words

Pictures are a worth a thousand words

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3 min read
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