Discover how to leverage OpenAI’s powerful embedding capabilities to transform your Salesforce data into insightful, actionable embeddings. This guide provides a step-by-step process, complet …
Here are highlights from article Talk to Salesforce Release Notes Using Open AI , Langchain & Chroma
1. Using Open AI embedding with Langchain and Chroma vector database
– The blog post provides source code and a video tutorial on using Open AI embedding with Langchain and Chroma vector database.
– The concept of RAG (Retrieval-Augmented Generation) is introduced to facilitate communication with PDF files using Open AI embedding.
2. Utilizing Chroma database for embedding vectors
– The Chroma vector database is used to store embedding vectors, which helps in saving API costs from Open AI.
– By leveraging the Chroma database, the article demonstrates an efficient way to work with embedding vectors and optimize resource allocation.
3. Retrieval-Augmented Generation (RAG)
– RAG, or Retrieval-Augmented Generation, is a concept employed to enhance communication with PDF files using Open AI embedding.
– The article explains how RAG enables more interactive and efficient interactions with the content of PDF files.
4. Video tutorial and source code
– The blog post includes a video tutorial that guides the audience through the process of using Open AI embedding with Langchain and Chroma vector database.
– Additionally, source code is shared to facilitate implementation and understanding of the discussed concepts.
5. Conclusion of the AI series
– This blog post marks the conclusion of the AI series, implying that it encompasses the final topic covered in the series.
– The article highlights the significance of the presented AI techniques and their potential to enhance various applications.
You can read it here: https://sfdc.blog/qZBAY
Source from jitendrazaa(dot)com