docs: README.md update

README.md

@@ -1 +1,142 @@
-## WIP
+<div align="center">
+ <h1 style="display: inline-block; vertical-align: middle;">
+    <a href="https://crates.io/crates/fastembed">FastEmbed-go</a>
+    <img src="https://github.com/Anush008/fastembed-rs/assets/46051506/4bd3cefe-12da-48b9-8cc2-7489145c9cb5" style="display: inline-block; vertical-align: middle; width: auto; height: 100px;">
+ </h1>
+ <h3>Go implementation of <a href="https://github.com/qdrant/fastembed" target="_blank">@Qdrant/fastembed</a></h3>
+  <a href="https://pkg.go.dev/github.com/anush009/fastembed-go"><img src="https://pkg.go.dev/badge/github.com/anush009/fastembed-go.svg" alt="Go Reference"></a>
+  <a href="https://github.com/Anush008/fastembed-go/blob/master/LICENSE"><img src="https://img.shields.io/badge/license-mit-blue.svg" alt="MIT Licensed"></a>
+  <a href="https://github.com/Anush008/fastembed-go/actions/workflows/release.yml"><img src="https://github.com/Anush008/fastembed-go/actions/workflows/release.yml/badge.svg?branch=main" alt="Semantic release"></a>
+</div>
+
+## 🍕 Features
+
+- Supports batch embeddings with parallelism using go-routines.
+- Uses [@sugarme/tokenizer](https://github.com/sugarme/tokenizer) for fast tokenization.
+- Optimized embedding models.
+
+The default embedding supports "query" and "passage" prefixes for the input text. The default model is Flag Embedding, which is top of the [MTEB](https://huggingface.co/spaces/mteb/leaderboard) leaderboard.
+
+## 🔍 Not looking for Go?
+
+- Python 🐍: [fastembed](https://github.com/qdrant/fastembed)
+- Rust 🦀: [fastembed-rs](https://github.com/Anush008/fastembed-rs)
+- JavaScript 🌐: [fastembed-js](https://github.com/Anush008/fastembed-js)
+
+## 🤖 Models
+
+- [**BAAI/bge-base-en-v1.5**](https://huggingface.co/BAAI/bge-base-en-v1.5)
+- [**BAAI/bge-small-en-v1.5**](https://huggingface.co/BAAI/bge-small-en-v1.5) - Default
+- [**sentence-transformers/all-MiniLM-L12-v2**](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2)
+
+## 🚀 Installation
+
+Run the following Go CLI command in your project directory:
+
+```bash
+go get -u github.com/Anush008/fastembed-go
+```
+
+## ℹ︎ Notice:
+
+The Onnx runtime path is automatically loaded on most environments. However, if you encounter
+```sh
+panic: Platform-specific initialization failed: Error loading ONNX shared library
+```
+Set the `ONNX_PATH` env to your Onnx installation.
+For eg, on MacOS:
+```sh
+export ONNX_PATH="/path/to/onnx/lib/libonnxruntime.dylib"
+```
+On Linux:
+```sh
+export ONNX_PATH="/path/to/onnx/lib/libonnxruntime.so"
+```
+You can find the Onnx runtime releases [here](https://github.com/microsoft/onnxruntime/releases).
+
+## 📖 Usage
+
+```go
+import "github.com/anush008/fastembed-go"
+
+// With default options
+model, err := fastembed.NewFlagEmbedding(nil)
+if err != nil {
+ panic(err)
+}
+
+// With custom options
+options := fastembed.InitOptions{
+ Model:     fastembed.BGEBaseEN,
+ CacheDir:  "model_cache",
+ MaxLength: 200,
+}
+
+model, err = fastembed.NewFlagEmbedding(&options)
+if err != nil {
+ panic(err)
+}
+
+documents := []string{
+ "passage: Hello, World!",
+ "query: Hello, World!",
+ "passage: This is an example passage.",
+ // You can leave out the prefix but it's recommended
+ "fastembed-go is licensed under MIT",
+}
+
+// Generate embeddings with a batch-size of 25, defaults to 256
+embeddings, err := model.Embed(documents, 25)  //  -> Embeddings length: 4
+if err != nil {
+ panic(err)
+}
+```
+
+### Supports passage and query embeddings for more accurate results
+
+```go
+// Generate embeddings for the passages
+// The texts are prefixed with "passage" for better results
+// The batch size is set to 1 for demonstration purposes
+passages := []string{
+ "This is the first passage. It contains provides more context for retrieval.",
+ "Here's the second passage, which is longer than the first one. It includes additional information.",
+ "And this is the third passage, the longest of all. It contains several sentences and is meant for more extensive testing.",
+}
+
+embeddings, err := model.PassageEmbed(passages, 1)  //  -> Embeddings length: 3
+if err != nil {
+ panic(err)
+}
+
+// Generate embeddings for the query
+// The text is prefixed with "query" for better retrieval
+query := "What is the answer to this generic question?";
+
+embeddings, err := model.QueryEmbed(query)
+if err != nil {
+ panic(err)
+}
+```
+
+## 🚒 Under the hood
+
+### Why fast?
+
+It's important we justify the "fast" in FastEmbed. FastEmbed is fast because:
+
+1. Quantized model weights
+2. ONNX Runtime which allows for inference on CPU, GPU, and other dedicated runtimes
+
+### Why light?
+
+1. No hidden dependencies via Huggingface Transformers
+
+### Why accurate?
+
+1. Better than OpenAI Ada-002
+2. Top of the Embedding leaderboards e.g. [MTEB](https://huggingface.co/spaces/mteb/leaderboard)
+
+## 📄 LICENSE
+
+MIT © [2023](https://github.com/Anush008/fastembed-go/blob/main/LICENSE)

fastembed.go

@@ -70,6 +70,10 @@ type ModelInfo struct {
 
 // Function to initialize a FastEmbed model
 func NewFlagEmbedding(options *InitOptions) (*FlagEmbedding, error) {
+	if options == nil {
+		options = &InitOptions{}
+	}
+
 	if options.CacheDir == "" {
 		options.CacheDir = "local_cache"
 	}
@@ -290,7 +294,6 @@ func ListSupportedModels() []ModelInfo {
 	}
 }
 
-// TODO: Configure the from model config files
 func loadTokenizer(modelPath string, maxLength int) (*tokenizer.Tokenizer, error) {
 	tknzer, err := pretrained.FromFile(filepath.Join(modelPath, "tokenizer.json"))