kashmir

kashmir

A Vector Database Implementation in GoLang

Supports the following APIs:

1. Create a new Vector DB

  // This creates an instance of a vector DB. You can create multiple vector DBs as required. 
  db:= NewVectorDB()

2. Create a Collection

  // Creates a collection. A collection is a set of one or more documents. 
  err := db.CreateCollection(collectionName)

3. Add a Document to the Collection

  // Add a Document to the Collection. You can add one or more Documents to a Collection. 
  err = db.AddDocument(collectionName, documentID, document)

4. Add a Document to the Collection w/Metadata

  // Add a Document to the Collection with Metadata. You can add one or more Documents to a Collection. 
  err = db.AddDocument(collectionName, documentID, document, metadata[])

5. Query a Collection for a Document

  // You can query a Collection to find the "closest matching" document to the input "phrase"
  nearestID, err := db.Query(collectionName, phrase)

6. Query a Collection for a Document, while filtering by Metadata

  // You can query a Collection to find the "closest matching" document to the input "phrase". Only look for documents that match the provided "Metadata"
  nearestID, err := db.Query(collectionName, phrase, metadata)