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Build fast, scalable vector embedding & semantic search API service with a simple configuration
Implementing vector embedding and semantic search for large document repositories is the first step in Retrieval Augmented...
Arun Prasad
Nov 14, 20234 min read
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Setting up a vector embedding pipeline with AIWhispr, Bert and Qdrant on MacOS.
This blog shows how to setup a vector embedding pipeline using AIWhispr , SBert sentence transformer model, Qdrant vector database. This...
Arun Prasad
Oct 17, 20233 min read
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AIWhispr 0.938 Release
We continue integrating new vector databases and embedding services towards our goal of a no/low-code semantic search tool that is easy...
Arun Prasad
Sep 13, 20232 min read
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Code Walkthrough : Adding support for indexing files on Google Cloud Storage
In the spirit of open source, we want to ensure that users, collaborators of AIWhispr also understand how to add their own custom...
Arun Prasad
Sep 1, 20233 min read
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Quick overview of AIWhispr design
AIWhispr takes a modular design approach, recognising that 4 distinct functions are coordinated to drive a scalable semantic search...
Arun Prasad
Aug 30, 20234 min read
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Setting up semantic search for files in Azure Storage: Part 1 (mount BlobStorage)
There are 4 ways to setup semantic search for your files stored in Azure containers. You can Mount the Azure container (blob storage) as...
Arun Prasad
Aug 22, 20232 min read
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Semantic search using AIWhispr with QDrant vector database
AIWhispr is a tool to enable AI powered semantic search on documents It is easy to install. Simple to configure. Can handle multiple file...
Arun Prasad
Aug 21, 20232 min read
37 views
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Document Retrieval with Semantic Search: Introducing AIWhispr
In today’s fast-paced world, where information accumulates rapidly, the need to retrieve and leverage past insights efficiently is...
Arun Prasad
Aug 15, 20233 min read
32 views
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