overview

Krixik Pipeline Examples

🇨🇴 Versión en español de este documento

Ready to see some pipeline examples to draw inspiration from? Let's dive in!

The first section below details every single-module pipeline buildable today. Use these if there is one particular module you'd like to leverage by itself.

Then we delve into a few examples of multi-module pipelines, which is where the power of Krixik really shines through. We close with a look at multi-module search-enabled pipelines, whose functionality is slightly different from the rest.

Single-Module Pipelines

• Image Caption

• OCR

• Sentiment Analysis

• Summarizer

• Text Embedder

• Parser

• Transcriber

• Translator

• Keyword Database

• Vector Database

• JSON to TXT

Multi-step conversion pipeline examples

• Recursive Summarization: Chains multiple text summarize modules together. The longer the module chain, the greater the degree of summarization.

• Translated Transcription: After transcribing an input audio file, translates the transcript into the language of your choice.

• Sentiment Analysis on Transcription: After transcribing an input audio file, performs sentiment analysis on each sentence of the transcript.

• Sentiment Analysis on Translation: Translates input text into English and then perfoms sentiment analysis on each sentence of the translation.

• Sentiment Analysis on Translated Transcription: After first transcribing an input audio file and then translating the transcript into English, performs sentiment analysis on each sentence of the translation.

multi-step search and RAG pipeline examples

• Search Pipeline Overview: Search pipelines call for the use of one of two additional methods. Read about it here.

• Semantic (Vector) Search: Enables semantic (vector) search on an input text file.

• Semantic (Vector) Search on Snippets: Enables semantic (vector) search on snippets in an input JSON file.

• Keyword Search: Enables keyword search on an input text file.

• Semantically-Searchable Transcription: Transcribes an input audio file and then enables semantic (vector) search on the transcript.

• Keyword-Searchable Transcription: Transcribes an input audio file and then enables keyword search on the transcript.

• Semantically-Searchable Translation: Translates an input text file and then enables semantic (vector) search on the translation.

• Semantically-Searchable Translated Transcription: Transcribes an input audio file, translates it into English, and then enables semantic (vector) search on the translation.

• Semantically-Searchable OCR: Extracts text from an input image and then enables semantic (vector) search on the extracted text.

• Keyword-Searchable Image Captions: Generates a textual caption for an input image and then enables keyword search on the caption.