README
¶
🦜️🔗 LangChain Go
⚡ Building applications with LLMs through composability ⚡
🤔 What is this?
This is the Go language implementation of LangChain.
📖 Documentation
🎉 Examples
See ./examples for example usage.
package main
import (
"context"
"log"
"github.com/aresa7796/langchaingo/llms/openai"
)
func main() {
llm, err := openai.New()
if err != nil {
log.Fatal(err)
}
prompt := "What would be a good company name for a company that makes colorful socks?"
completion, err := llm.Call(context.Background(), prompt)
if err != nil {
log.Fatal(err)
}
log.Println(completion)
}
$ go run .
Socktastic!
Resources
Here are some links to blog posts and articles on using Langchain Go:
Documentation
¶
Overview ¶
Package langchaingo implements the Go language version of the langchain project.
Source Files
Directories
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| Path | Synopsis |
|---|---|
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Package agent contains the standard interface all agents must implement, implementations of this interface, and an agent executor.
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Package agent contains the standard interface all agents must implement, implementations of this interface, and an agent executor. |
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Package callbacks includes a standard interface for hooking into various stages of your LLM application.
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Package callbacks includes a standard interface for hooking into various stages of your LLM application. |
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Package chains contains a standard interface for chains, a number of built in chains and functions for calling and running chains.
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Package chains contains a standard interface for chains, a number of built in chains and functions for calling and running chains. |
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Package documentloaders includes a standard interface for loading documents from a source and implementations of this interface.
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Package documentloaders includes a standard interface for loading documents from a source and implementations of this interface. |
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Package embeddings contains the implementation for creating vector embeddings from text using different APIs, like OpenAI and Google PaLM (VertexAI).
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Package embeddings contains the implementation for creating vector embeddings from text using different APIs, like OpenAI and Google PaLM (VertexAI). |
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examples
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Package exp contains experimental code that is subject to change or removal.
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Package exp contains experimental code that is subject to change or removal. |
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internal
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util
Package util contins general helper functions.
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Package util contins general helper functions. |
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Package jsonschema provides very simple functionality for representing a JSON schema as a (nested) struct.
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Package jsonschema provides very simple functionality for representing a JSON schema as a (nested) struct. |
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Package llms provides unified support for interacting with different Language Models (LLMs) from various providers.
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Package llms provides unified support for interacting with different Language Models (LLMs) from various providers. |
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ernie
Packaging ernie wrapper around the Baidu Large Language Model Platform APIs.
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Packaging ernie wrapper around the Baidu Large Language Model Platform APIs. |
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local/internal/localclient
Package localclient provides a client for local LLMs.
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Package localclient provides a client for local LLMs. |
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Package memory provides an interface for managing conversational data and a variety of implementations for storing and retrieving that data.
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Package memory provides an interface for managing conversational data and a variety of implementations for storing and retrieving that data. |
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Package outputparser provides a set of output parsers to process structured or unstructured data from language models (LLMs).
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Package outputparser provides a set of output parsers to process structured or unstructured data from language models (LLMs). |
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Package prompts contains types, prompt templates, loading utilities, output parsers, example selectors, and other utilities for working with LLM prompts..
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Package prompts contains types, prompt templates, loading utilities, output parsers, example selectors, and other utilities for working with LLM prompts.. |
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Package schema implements a shared core set of data types for use in langchaingo.
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Package schema implements a shared core set of data types for use in langchaingo. |
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Package textsplitter provides tools for splitting long texts into smaller chunks based on configurable rules and parameters.
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Package textsplitter provides tools for splitting long texts into smaller chunks based on configurable rules and parameters. |
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Package tools defines a standard interface for tools to be used by agents.
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Package tools defines a standard interface for tools to be used by agents. |
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duckduckgo
Package duckduckgo contains an implementation of the tool interface with the duckduckgo api client.
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Package duckduckgo contains an implementation of the tool interface with the duckduckgo api client. |
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metaphor
// Package metaphor contains an implementation of the tool interface with the metaphor search api client.
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// Package metaphor contains an implementation of the tool interface with the metaphor search api client. |
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scraper
Package scraper contains an implementation of the tool interface for a web scraping tool.
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Package scraper contains an implementation of the tool interface for a web scraping tool. |
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serpapi
Package serpapi contains an implementation of the tool interface with the serapi.
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Package serpapi contains an implementation of the tool interface with the serapi. |
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wikipedia
Package wikipedia contains an implementation of the tool interface with the wikipedia api.
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Package wikipedia contains an implementation of the tool interface with the wikipedia api. |
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zapier
Package zapier contains an implementation of the tool interface with the zapier NLA api client.
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Package zapier contains an implementation of the tool interface with the zapier NLA api client. |
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Package vectorstores contains the implementation of VectorStore, an interface for saving and querying documents as vector embeddings.
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Package vectorstores contains the implementation of VectorStore, an interface for saving and querying documents as vector embeddings. |
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pinecone
Package pinecone contains an implementation of the vectorStore interface using pinecone.
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Package pinecone contains an implementation of the vectorStore interface using pinecone. |
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weaviate
Package weaviate contains an implementation of the vectorStore interface using weaviate.
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Package weaviate contains an implementation of the vectorStore interface using weaviate. |
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