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Retrievers

The concept of a "retriever" within a language or framework, particularly in blockchain contexts, refers to a mechanism designed to extract or fetch data from a designated source. In the realm of blockchain, this could involve retrieving transaction details, block information, or the states of smart contracts from the blockchain's ledger.

Reasons for Using a Retriever:

  • Data Accessibility: Provides a gateway for accessing data stored on the blockchain, crucial for applications needing to present this information to users or leverage it for further processing.

  • Efficiency: Optimizes the process of fetching data, reducing latency and enhancing the performance of blockchain applications.

  • Abstraction: Simplifies querying the blockchain by hiding its underlying complexity, offering developers a more straightforward API.

  • Integration: Enables the seamless incorporation of blockchain data into other applications or services, broadening potential use cases and functionalities.

  • Security: Allows applications to access blockchain data safely without direct ledger interactions, minimizing exposure to security risks.

How To

The implementation of a retriever varies depending on the blockchain platform and the specific data requirements. However, the general process involves the following steps:

You need use a embedder, can you ollama, huggingface ..

	llm, err := ollama.New(ollama.WithModel("llama2"))

if err != nil {
log.Fatal(err)
}

embedder, err := embeddings.NewEmbedder(llm)
if err != nil {
log.Fatal(err)
}

After it chose a storage vector like pinecone, postgres, Qdrant, in example I'll use qdrant

	url, err := url.Parse("http://localhost:6333")
if err != nil {
log.Fatal(err)
}

store, err := qdrant.New(
qdrant.WithURL(*url),
qdrant.WithCollectionName("youtube_transcript"),
qdrant.WithEmbedder(embedder),
)
if err != nil {
log.Fatal(err)
}


Now Create a retriever

	searchQuery := "how to make a cake"

// Create retriever with basic configuration
retriever := vectorstores.ToRetriever(store, 10)

// Search for relevant documents
resDocs, err := retriever.GetRelevantDocuments(context.Background(), searchQuery)
if err != nil {
log.Fatal(err)
}

This is a simple example of how to use a retriever, you can use it in a lot of ways, like a chatbot, a search engine, a recommendation system, etc.