repo stringlengths 5 92 | file_url stringlengths 80 287 | file_path stringlengths 5 197 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 15:37:27 2026-01-04 17:58:21 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool_definition.rb | lib/langchain/tool_definition.rb | # frozen_string_literal: true
#
# Extends a class to be used as a tool in the assistant.
# A tool is a collection of functions (methods) used to perform specific tasks.
#
# == Usage
#
# 1. Extend your class with {Langchain::ToolDefinition}
# 2. Use {#define_function} to define each function of the tool
#
# == Key Conc... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/engine.rb | lib/langchain/engine.rb | module Langchain
class Engine < ::Rails::Engine
isolate_namespace Langchain
config.autoload_paths << root.join("lib")
config.eager_load_paths << root.join("lib")
end
end
| ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool_response.rb | lib/langchain/tool_response.rb | # frozen_string_literal: true
module Langchain
# ToolResponse represents the standardized output of a tool.
# It can contain either text content or an image URL.
class ToolResponse
attr_reader :content, :image_url
# Initializes a new ToolResponse.
#
# @param content [String] The text content of ... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/chunker/text.rb | lib/langchain/chunker/text.rb | # frozen_string_literal: true
require "baran"
module Langchain
module Chunker
# Simple text chunker
#
# Usage:
# Langchain::Chunker::Text.new(text).chunks
class Text < Base
attr_reader :text, :chunk_size, :chunk_overlap, :separator
# @param [String] text
# @param [Integer]... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/chunker/semantic.rb | lib/langchain/chunker/semantic.rb | # frozen_string_literal: true
module Langchain
module Chunker
# LLM-powered semantic chunker.
# Semantic chunking is a technique of splitting texts by their semantic meaning, e.g.: themes, topics, and ideas.
# We use an LLM to accomplish this. The Anthropic LLM is highly recommended for this task as it h... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/chunker/base.rb | lib/langchain/chunker/base.rb | # frozen_string_literal: true
module Langchain
module Chunker
# = Chunkers
# Chunkers are used to split documents into smaller chunks before indexing into vector search databases.
# Otherwise large documents, when retrieved and passed to LLMs, may hit the context window limits.
#
# == Available c... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/chunker/sentence.rb | lib/langchain/chunker/sentence.rb | # frozen_string_literal: true
require "pragmatic_segmenter"
module Langchain
module Chunker
# This chunker splits text by sentences.
#
# Usage:
# Langchain::Chunker::Sentence.new(text).chunks
class Sentence < Base
attr_reader :text
# @param text [String]
# @return [Langcha... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/chunker/markdown.rb | lib/langchain/chunker/markdown.rb | # frozen_string_literal: true
require "baran"
module Langchain
module Chunker
# Simple text chunker
#
# Usage:
# Langchain::Chunker::Markdown.new(text).chunks
class Markdown < Base
attr_reader :text, :chunk_size, :chunk_overlap
# @param [String] text
# @param [Integer] chu... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/chunker/recursive_text.rb | lib/langchain/chunker/recursive_text.rb | # frozen_string_literal: true
require "baran"
module Langchain
module Chunker
# Recursive text chunker. Preferentially splits on separators.
#
# Usage:
# Langchain::Chunker::RecursiveText.new(text).chunks
class RecursiveText < Base
attr_reader :text, :chunk_size, :chunk_overlap, :separ... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/evals/ragas/main.rb | lib/langchain/evals/ragas/main.rb | # freeze_string_literal: true
module Langchain
module Evals
# The RAGAS (Retrieval Augmented Generative Assessment) is a framework for evaluating RAG (Retrieval Augmented Generation) pipelines.
# Based on the following research: https://arxiv.org/pdf/2309.15217.pdf
module Ragas
class Main
a... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/evals/ragas/faithfulness.rb | lib/langchain/evals/ragas/faithfulness.rb | # freeze_string_literal: true
module Langchain
module Evals
module Ragas
# Faithfulness refers to the idea that the answer should be grounded in the given context,
# ensuring that the retrieved context can act as a justification for the generated answer.
# The answer is faithful to the context ... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/evals/ragas/context_relevance.rb | lib/langchain/evals/ragas/context_relevance.rb | # freeze_string_literal: true
require "pragmatic_segmenter"
module Langchain
module Evals
module Ragas
# Context Relevance refers to the idea that the retrieved context should be focused, containing as little irrelevant information as possible.
class ContextRelevance
attr_reader :llm
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/evals/ragas/answer_relevance.rb | lib/langchain/evals/ragas/answer_relevance.rb | # freeze_string_literal: true
require "matrix"
module Langchain
module Evals
module Ragas
# Answer Relevance refers to the idea that the generated answer should address the actual question that was provided.
# This metric evaluates how closely the generated answer aligns with the initial question or... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/utils/image_wrapper.rb | lib/langchain/utils/image_wrapper.rb | # frozen_string_literal: true
require "open-uri"
require "base64"
module Langchain
module Utils
class ImageWrapper
attr_reader :image_url
def initialize(image_url)
@image_url = image_url
end
def base64
@base64 ||= begin
image_data = open_image.read
B... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/utils/hash_transformer.rb | lib/langchain/utils/hash_transformer.rb | module Langchain
module Utils
class HashTransformer
def self.symbolize_keys(hash)
hash.map do |k, v|
new_key = begin
k.to_sym
rescue
k
end
new_value = v.is_a?(Hash) ? symbolize_keys(v) : v
[new_key, new_value]
end.to_h... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/utils/to_boolean.rb | lib/langchain/utils/to_boolean.rb | # frozen_string_literal: true
module Langchain
module Utils
class ToBoolean
TRUTHABLE_STRINGS = %w[1 true t yes y]
private_constant :TRUTHABLE_STRINGS
def to_bool(value)
case value
when String
TRUTHABLE_STRINGS.include?(value.downcase)
when Integer
v... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/utils/cosine_similarity.rb | lib/langchain/utils/cosine_similarity.rb | # frozen_string_literal: true
module Langchain
module Utils
class CosineSimilarity
attr_reader :vector_a, :vector_b
# @param vector_a [Array<Float>] First vector
# @param vector_b [Array<Float>] Second vector
def initialize(vector_a, vector_b)
@vector_a = vector_a
@vector... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/ai21.rb | lib/langchain/llm/ai21.rb | # frozen_string_literal: true
module Langchain::LLM
#
# Wrapper around AI21 Studio APIs.
#
# Gem requirements:
# gem "ai21", "~> 0.2.1"
#
# Usage:
# llm = Langchain::LLM::AI21.new(api_key: ENV["AI21_API_KEY"])
#
# @deprecated Use another LLM provider.
class AI21 < Base
DEFAULTS = {
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/mistralai.rb | lib/langchain/llm/mistralai.rb | # frozen_string_literal: true
module Langchain::LLM
# Gem requirements:
# gem "mistral-ai"
#
# Usage:
# llm = Langchain::LLM::MistralAI.new(api_key: ENV["MISTRAL_AI_API_KEY"])
class MistralAI < Base
DEFAULTS = {
chat_model: "mistral-large-latest",
embedding_model: "mistral-embed"
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/unified_parameters.rb | lib/langchain/llm/unified_parameters.rb | # frozen_string_literal: true
module Langchain::LLM
class UnifiedParameters
include Enumerable
attr_reader :schema, :aliases, :parameters, :ignored, :remapped
class Null < self
def initialize(parameters: {})
super(schema: {}, parameters: parameters)
end
end
def initialize(s... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/ollama.rb | lib/langchain/llm/ollama.rb | # frozen_string_literal: true
module Langchain::LLM
# Interface to Ollama API.
# Available models: https://ollama.ai/library
#
# Gem requirements:
# gem "faraday"
#
# Usage:
# llm = Langchain::LLM::Ollama.new(url: ENV["OLLAMA_URL"], default_options: {})
#
class Ollama < Base
attr_reader :... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/aws_bedrock.rb | lib/langchain/llm/aws_bedrock.rb | # frozen_string_literal: true
module Langchain::LLM
# LLM interface for Aws Bedrock APIs: https://docs.aws.amazon.com/bedrock/
#
# Gem requirements:
# gem 'aws-sdk-bedrockruntime', '~> 1.1'
#
# Usage:
# llm = Langchain::LLM::AwsBedrock.new(default_options: {})
#
class AwsBedrock < Base
DEFA... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/google_gemini.rb | lib/langchain/llm/google_gemini.rb | # frozen_string_literal: true
module Langchain::LLM
# Usage:
# llm = Langchain::LLM::GoogleGemini.new(api_key: ENV['GOOGLE_GEMINI_API_KEY'])
class GoogleGemini < Base
DEFAULTS = {
chat_model: "gemini-1.5-pro-latest",
embedding_model: "text-embedding-004",
temperature: 0.0
}
att... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/openai.rb | lib/langchain/llm/openai.rb | # frozen_string_literal: true
require "openai"
module Langchain::LLM
# LLM interface for OpenAI APIs: https://platform.openai.com/overview
#
# Gem requirements:
# gem "ruby-openai", "~> 6.3.0"
#
# Usage:
# llm = Langchain::LLM::OpenAI.new(
# api_key: ENV["OPENAI_API_KEY"],
# llm_opti... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/anthropic.rb | lib/langchain/llm/anthropic.rb | # frozen_string_literal: true
module Langchain::LLM
#
# Wrapper around Anthropic APIs.
#
# Gem requirements:
# gem "anthropic", "~> 0.3.2"
#
# Usage:
# llm = Langchain::LLM::Anthropic.new(api_key: ENV["ANTHROPIC_API_KEY"])
#
class Anthropic < Base
DEFAULTS = {
temperature: 0.0,
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/base.rb | lib/langchain/llm/base.rb | # frozen_string_literal: true
module Langchain::LLM
class ApiError < StandardError; end
# A LLM is a language model consisting of a neural network with many parameters (typically billions of weights or more), trained on large quantities of unlabeled text using self-supervised learning or semi-supervised learning.... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/hugging_face.rb | lib/langchain/llm/hugging_face.rb | # frozen_string_literal: true
module Langchain::LLM
#
# Wrapper around the HuggingFace Inference API: https://huggingface.co/inference-api
#
# Gem requirements:
# gem "hugging-face", "~> 0.3.4"
#
# Usage:
# llm = Langchain::LLM::HuggingFace.new(api_key: ENV["HUGGING_FACE_API_KEY"])
#
class ... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/azure.rb | lib/langchain/llm/azure.rb | # frozen_string_literal: true
module Langchain::LLM
# LLM interface for Azure OpenAI Service APIs: https://learn.microsoft.com/en-us/azure/ai-services/openai/
#
# Gem requirements:
# gem "ruby-openai", "~> 6.3.0"
#
# Usage:
# llm = Langchain::LLM::Azure.new(api_key:, llm_options: {}, embedding_depl... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/llama_cpp.rb | lib/langchain/llm/llama_cpp.rb | # frozen_string_literal: true
module Langchain::LLM
# A wrapper around the LlamaCpp.rb library
#
# Gem requirements:
# gem "llama_cpp"
#
# Usage:
# llama = Langchain::LLM::LlamaCpp.new(
# model_path: ENV["LLAMACPP_MODEL_PATH"],
# n_gpu_layers: Integer(ENV["LLAMACPP_N_GPU_LAYERS"])... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/cohere.rb | lib/langchain/llm/cohere.rb | # frozen_string_literal: true
module Langchain::LLM
#
# Wrapper around the Cohere API.
#
# Gem requirements:
# gem "cohere-ruby", "~> 0.9.6"
#
# Usage:
# llm = Langchain::LLM::Cohere.new(api_key: ENV["COHERE_API_KEY"])
#
class Cohere < Base
DEFAULTS = {
temperature: 0.0,
com... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/google_vertexai.rb | lib/langchain/llm/google_vertexai.rb | # frozen_string_literal: true
module Langchain::LLM
#
# Wrapper around the Google Vertex AI APIs: https://cloud.google.com/vertex-ai
#
# Gem requirements:
# gem "googleauth"
#
# Usage:
# llm = Langchain::LLM::GoogleVertexAI.new(project_id: ENV["GOOGLE_VERTEX_AI_PROJECT_ID"], region: "us-central... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/replicate.rb | lib/langchain/llm/replicate.rb | # frozen_string_literal: true
module Langchain::LLM
#
# Wrapper around Replicate.com LLM provider
#
# Gem requirements:
# gem "replicate-ruby", "~> 0.2.2"
#
# Usage:
# llm = Langchain::LLM::Replicate.new(api_key: ENV["REPLICATE_API_KEY"])
class Replicate < Base
DEFAULTS = {
# TODO: ... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/parameters/chat.rb | lib/langchain/llm/parameters/chat.rb | # frozen_string_literal: true
require "delegate"
module Langchain::LLM::Parameters
class Chat < SimpleDelegator
# TODO: At the moment, the UnifiedParamters only considers keys. In the
# future, we may consider ActiveModel-style validations and further typed
# options here.
SCHEMA = {
# Either... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/openai_response.rb | lib/langchain/llm/response/openai_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class OpenAIResponse < BaseResponse
def model
raw_response["model"]
end
def created_at
if raw_response.dig("created")
Time.at(raw_response.dig("created"))
end
end
def completion
completions&.dig(0, "me... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/google_gemini_response.rb | lib/langchain/llm/response/google_gemini_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class GoogleGeminiResponse < BaseResponse
def initialize(raw_response, model: nil)
super
end
def chat_completion
raw_response.dig("candidates", 0, "content", "parts", 0, "text")
end
def role
raw_response.dig("candid... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/replicate_response.rb | lib/langchain/llm/response/replicate_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class ReplicateResponse < BaseResponse
def completions
# Response comes back as an array of strings, e.g.: ["Hi", "how ", "are ", "you?"]
# The first array element is missing a space at the end, so we add it manually
raw_response.out... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/hugging_face_response.rb | lib/langchain/llm/response/hugging_face_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class HuggingFaceResponse < BaseResponse
def embeddings
[raw_response]
end
def embedding
embeddings.first
end
end
end
| ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/ollama_response.rb | lib/langchain/llm/response/ollama_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class OllamaResponse < BaseResponse
def initialize(raw_response, model: nil, prompt_tokens: nil)
@prompt_tokens = prompt_tokens
super(raw_response, model: model)
end
def created_at
Time.parse(raw_response.dig("created_at")) ... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/anthropic_response.rb | lib/langchain/llm/response/anthropic_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class AnthropicResponse < BaseResponse
def model
raw_response.dig("model")
end
def completion
completions.first
end
def chat_completion
chat_completion = chat_completions.find { |h| h["type"] == "text" }
chat_... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/aws_titan_response.rb | lib/langchain/llm/response/aws_titan_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class AwsTitanResponse < BaseResponse
def embedding
embeddings&.first
end
def embeddings
[raw_response.dig("embedding")]
end
def prompt_tokens
raw_response.dig("inputTextTokenCount")
end
end
end
| ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/base_response.rb | lib/langchain/llm/response/base_response.rb | # frozen_string_literal: true
module Langchain
module LLM::Response
class BaseResponse
attr_reader :raw_response, :model
# Save context in the response when doing RAG workflow vectorsearch#ask()
attr_accessor :context
def initialize(raw_response, model: nil)
@raw_response = raw_... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/llama_cpp_response.rb | lib/langchain/llm/response/llama_cpp_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class LlamaCppResponse < BaseResponse
def embedding
embeddings
end
def embeddings
raw_response.embeddings
end
end
end
| ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/ai21_response.rb | lib/langchain/llm/response/ai21_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class AI21Response < BaseResponse
def completions
raw_response.dig(:completions)
end
def completion
completions.dig(0, :data, :text)
end
def chat_completion
raw_response.dig(:choices, 0, :message, :content)
end
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/cohere_response.rb | lib/langchain/llm/response/cohere_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class CohereResponse < BaseResponse
def embedding
embeddings.first
end
def embeddings
raw_response.dig("embeddings")
end
def completions
raw_response.dig("generations")
end
def completion
completions&... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/mistralai_response.rb | lib/langchain/llm/response/mistralai_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class MistralAIResponse < BaseResponse
def model
raw_response["model"]
end
def chat_completion
chat_completions.dig(0, "message", "content")
end
def chat_completions
raw_response.dig("choices")
end
def tool... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/llm/response/aws_bedrock_meta_response.rb | lib/langchain/llm/response/aws_bedrock_meta_response.rb | # frozen_string_literal: true
module Langchain::LLM::Response
class AwsBedrockMetaResponse < BaseResponse
def completion
completions.first
end
def completions
[raw_response.dig("generation")]
end
def stop_reason
raw_response.dig("stop_reason")
end
def prompt_tokens
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/messages/openai_message.rb | lib/langchain/assistant/messages/openai_message.rb | # frozen_string_literal: true
module Langchain
class Assistant
module Messages
class OpenAIMessage < Base
# OpenAI uses the following roles:
ROLES = [
"system",
"assistant",
"user",
"tool"
].freeze
TOOL_ROLE = "tool"
# Initia... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/messages/ollama_message.rb | lib/langchain/assistant/messages/ollama_message.rb | # frozen_string_literal: true
module Langchain
class Assistant
module Messages
class OllamaMessage < Base
# OpenAI uses the following roles:
ROLES = [
"system",
"assistant",
"user",
"tool"
].freeze
TOOL_ROLE = "tool"
# Initia... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/messages/base.rb | lib/langchain/assistant/messages/base.rb | # frozen_string_literal: true
module Langchain
class Assistant
module Messages
class Base
attr_reader :role,
:content,
:image_url,
:tool_calls,
:tool_call_id
# Check if the message came from a user
#
# @return [Boolean] true/false whe... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/messages/google_gemini_message.rb | lib/langchain/assistant/messages/google_gemini_message.rb | # frozen_string_literal: true
module Langchain
class Assistant
module Messages
class GoogleGeminiMessage < Base
# Google Gemini uses the following roles:
ROLES = [
"user",
"model",
"function"
].freeze
TOOL_ROLE = "function"
# Initializ... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/messages/mistralai_message.rb | lib/langchain/assistant/messages/mistralai_message.rb | # frozen_string_literal: true
module Langchain
class Assistant
module Messages
class MistralAIMessage < Base
# MistralAI uses the following roles:
ROLES = [
"system",
"assistant",
"user",
"tool"
].freeze
TOOL_ROLE = "tool"
# ... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/messages/anthropic_message.rb | lib/langchain/assistant/messages/anthropic_message.rb | # frozen_string_literal: true
module Langchain
class Assistant
module Messages
class AnthropicMessage < Base
ROLES = [
"assistant",
"user",
"tool_result"
].freeze
TOOL_ROLE = "tool_result"
# Initialize a new Anthropic message
#
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/llm/adapter.rb | lib/langchain/assistant/llm/adapter.rb | # frozen_string_literal: true
module Langchain
class Assistant
module LLM
# TODO: Fix the message truncation when context window is exceeded
class Adapter
def self.build(llm)
if llm.is_a?(Langchain::LLM::Anthropic)
LLM::Adapters::Anthropic.new
elsif llm.is_a?(L... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/llm/adapters/mistralai.rb | lib/langchain/assistant/llm/adapters/mistralai.rb | # frozen_string_literal: true
module Langchain
class Assistant
module LLM
module Adapters
class MistralAI < Base
# Build the chat parameters for the Mistral AI LLM
#
# @param messages [Array] The messages
# @param instructions [String] The system instructions... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/llm/adapters/aws_bedrock_anthropic.rb | lib/langchain/assistant/llm/adapters/aws_bedrock_anthropic.rb | # frozen_string_literal: true
module Langchain
class Assistant
module LLM
module Adapters
class AwsBedrockAnthropic < Anthropic
private
# @param [String] choice
# @param [Boolean] _parallel_tool_calls
# @return [Hash]
def build_tool_choice(choice, ... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/llm/adapters/ollama.rb | lib/langchain/assistant/llm/adapters/ollama.rb | # frozen_string_literal: true
module Langchain
class Assistant
module LLM
module Adapters
class Ollama < Base
# Build the chat parameters for the Ollama LLM
#
# @param messages [Array] The messages
# @param instructions [String] The system instructions
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/llm/adapters/google_gemini.rb | lib/langchain/assistant/llm/adapters/google_gemini.rb | # frozen_string_literal: true
module Langchain
class Assistant
module LLM
module Adapters
class GoogleGemini < Base
# Build the chat parameters for the Google Gemini LLM
#
# @param messages [Array] The messages
# @param instructions [String] The system instru... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/llm/adapters/openai.rb | lib/langchain/assistant/llm/adapters/openai.rb | # frozen_string_literal: true
module Langchain
class Assistant
module LLM
module Adapters
class OpenAI < Base
# Build the chat parameters for the OpenAI LLM
#
# @param messages [Array] The messages
# @param instructions [String] The system instructions
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/llm/adapters/anthropic.rb | lib/langchain/assistant/llm/adapters/anthropic.rb | # frozen_string_literal: true
module Langchain
class Assistant
module LLM
module Adapters
class Anthropic < Base
# Build the chat parameters for the Anthropic API
#
# @param messages [Array<Hash>] The messages
# @param instructions [String] The system instruc... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/assistant/llm/adapters/base.rb | lib/langchain/assistant/llm/adapters/base.rb | # frozen_string_literal: true
module Langchain
class Assistant
module LLM
module Adapters
class Base
# Build the chat parameters for the LLM
#
# @param messages [Array] The messages
# @param instructions [String] The system instructions
# @param too... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/prompt/few_shot_prompt_template.rb | lib/langchain/prompt/few_shot_prompt_template.rb | # frozen_string_literal: true
module Langchain::Prompt
# = Few Shot Prompt Templates
#
# Create a prompt with a few shot examples:
#
# prompt = Langchain::Prompt::FewShotPromptTemplate.new(
# prefix: "Write antonyms for the following words.",
# suffix: "Input: <code>{adjective}</code>\nOu... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/prompt/prompt_template.rb | lib/langchain/prompt/prompt_template.rb | # frozen_string_literal: true
module Langchain::Prompt
# = Prompt Templates
#
# Create a prompt with one input variable:
#
# prompt = Langchain::Prompt::PromptTemplate.new(template: "Tell me a {adjective} joke.", input_variables: ["adjective"])
# prompt.format(adjective: "funny") # "Tell me a funny... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/prompt/base.rb | lib/langchain/prompt/base.rb | # frozen_string_literal: true
require "strscan"
require "yaml"
module Langchain::Prompt
# Prompts are structured inputs to the LLMs. Prompts provide instructions, context and other user input that LLMs use to generate responses.
#
# @abstract
class Base
def format(**kwargs)
raise NotImplementedError... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/prompt/loading.rb | lib/langchain/prompt/loading.rb | # frozen_string_literal: true
require "strscan"
require "pathname"
require "yaml"
module Langchain::Prompt
TYPE_TO_LOADER = {
"prompt" => ->(config) { load_prompt(config) },
"few_shot" => ->(config) { load_few_shot_prompt(config) }
}
module Loading
def self.included(base)
base.extend ClassMet... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/vectorsearch/weaviate.rb | lib/langchain/vectorsearch/weaviate.rb | # frozen_string_literal: true
module Langchain::Vectorsearch
#
# Wrapper around Weaviate
#
# Gem requirements:
# gem "weaviate-ruby", "~> 0.9.2"
#
# Usage:
# weaviate = Langchain::Vectorsearch::Weaviate.new(url: ENV["WEAVIATE_URL"], api_key: ENV["WEAVIATE_API_KEY"], index_name: "Docs", llm: llm... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/vectorsearch/qdrant.rb | lib/langchain/vectorsearch/qdrant.rb | # frozen_string_literal: true
module Langchain::Vectorsearch
#
# Wrapper around Qdrant
#
# Gem requirements:
# gem "qdrant-ruby", "~> 0.9.8"
#
# Usage:
# qdrant = Langchain::Vectorsearch::Qdrant.new(url:, api_key:, index_name:, llm:)
#
class Qdrant < Base
# Initialize the Qdrant client
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/vectorsearch/pinecone.rb | lib/langchain/vectorsearch/pinecone.rb | # frozen_string_literal: true
module Langchain::Vectorsearch
#
# Wrapper around Pinecone API.
#
# Gem requirements:
# gem "pinecone", "~> 0.1"
#
# Usage:
# pinecone = Langchain::Vectorsearch::Pinecone.new(environment:, api_key:, index_name:, llm:)
#
class Pinecone < Base
# Initialize th... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/vectorsearch/milvus.rb | lib/langchain/vectorsearch/milvus.rb | # frozen_string_literal: true
module Langchain::Vectorsearch
#
# Wrapper around Milvus REST APIs.
#
# Gem requirements:
# gem "milvus", "~> 0.10.3"
#
# Usage:
# milvus = Langchain::Vectorsearch::Milvus.new(url:, index_name:, llm:, api_key:)
#
class Milvus < Base
def initialize(url:, ind... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/vectorsearch/hnswlib.rb | lib/langchain/vectorsearch/hnswlib.rb | # frozen_string_literal: true
module Langchain::Vectorsearch
#
# Wrapper around HNSW (Hierarchical Navigable Small World) library.
# HNSWLib is an in-memory vectorstore that can be saved to a file on disk.
#
# Gem requirements:
# gem "hnswlib", "~> 0.8.1"
#
# Usage:
# hnsw = Langchain::Vector... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/vectorsearch/pgvector.rb | lib/langchain/vectorsearch/pgvector.rb | # frozen_string_literal: true
module Langchain::Vectorsearch
#
# The PostgreSQL vector search adapter
#
# Gem requirements:
# gem "sequel", "~> 5.87.0"
# gem "pgvector", "~> 0.2"
#
# Usage:
# pgvector = Langchain::Vectorsearch::Pgvector.new(url:, index_name:, llm:, namespace: nil)
#
c... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/vectorsearch/base.rb | lib/langchain/vectorsearch/base.rb | # frozen_string_literal: true
module Langchain::Vectorsearch
# = Vector Databases
# A vector database a type of database that stores data as high-dimensional vectors, which are mathematical representations of features or attributes. Each vector has a certain number of dimensions, which can range from tens to thous... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/vectorsearch/elasticsearch.rb | lib/langchain/vectorsearch/elasticsearch.rb | # frozen_string_literal: true
module Langchain::Vectorsearch
#
# Wrapper around Elasticsearch vector search capabilities.
#
# Setting up Elasticsearch:
# 1. Get Elasticsearch up and running with Docker: https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html
# 2. Copy the HTTP CA certif... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/vectorsearch/chroma.rb | lib/langchain/vectorsearch/chroma.rb | # frozen_string_literal: true
module Langchain::Vectorsearch
#
# Wrapper around Chroma DB
#
# Gem requirements:
# gem "chroma-db", "~> 0.6.0"
#
# Usage:
# chroma = Langchain::Vectorsearch::Chroma.new(url:, index_name:, llm:, api_key: nil)
#
class Chroma < Base
# Initialize the Chroma cl... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/jsonl.rb | lib/langchain/processors/jsonl.rb | # frozen_string_literal: true
module Langchain
module Processors
class JSONL < Base
EXTENSIONS = [".jsonl"]
CONTENT_TYPES = ["application/jsonl", "application/json-lines", "application/jsonlines"]
# Parse the document and return the text
# @param [File] data
# @return [Array of Has... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/text.rb | lib/langchain/processors/text.rb | # frozen_string_literal: true
module Langchain
module Processors
class Text < Base
EXTENSIONS = [".txt"]
CONTENT_TYPES = ["text/plain"]
# Parse the document and return the text
# @param [File] data
# @return [String]
def parse(data)
data.read
end
end
end
e... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/xlsx.rb | lib/langchain/processors/xlsx.rb | # frozen_string_literal: true
module Langchain
module Processors
class Xlsx < Base
EXTENSIONS = [".xlsx", ".xlsm"].freeze
CONTENT_TYPES = ["application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"].freeze
def initialize(*)
depends_on "roo"
end
# Parse the documen... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/csv.rb | lib/langchain/processors/csv.rb | # frozen_string_literal: true
require "csv"
module Langchain
module Processors
class CSV < Base
class InvalidChunkMode < StandardError; end
EXTENSIONS = [".csv"]
CONTENT_TYPES = ["text/csv"]
CHUNK_MODE = {
row: "row",
file: "file"
}
# Parse the document and ... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/json.rb | lib/langchain/processors/json.rb | # frozen_string_literal: true
module Langchain
module Processors
class JSON < Base
EXTENSIONS = [".json"]
CONTENT_TYPES = ["application/json"]
# Parse the document and return the text
# @param [File] data
# @return [Hash]
def parse(data)
::JSON.parse(data.read)
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/docx.rb | lib/langchain/processors/docx.rb | # frozen_string_literal: true
module Langchain
module Processors
class Docx < Base
EXTENSIONS = [".docx"]
CONTENT_TYPES = ["application/vnd.openxmlformats-officedocument.wordprocessingml.document"]
def initialize(*)
depends_on "docx"
end
# Parse the document and return the... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/base.rb | lib/langchain/processors/base.rb | # frozen_string_literal: true
module Langchain
module Processors
# Processors load and parse/process various data types such as CSVs, PDFs, Word documents, HTML pages, and others.
class Base
include Langchain::DependencyHelper
EXTENSIONS = []
CONTENT_TYPES = []
def initialize(option... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/markdown.rb | lib/langchain/processors/markdown.rb | # frozen_string_literal: true
module Langchain
module Processors
class Markdown < Base
EXTENSIONS = [".markdown", ".md"]
CONTENT_TYPES = ["text/markdown"]
# Parse the document and return the text
# @param [File] data
# @return [String]
def parse(data)
data.read
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/pptx.rb | lib/langchain/processors/pptx.rb | # frozen_string_literal: true
module Langchain
module Processors
class Pptx < Base
EXTENSIONS = [".pptx"]
CONTENT_TYPES = ["application/vnd.openxmlformats-officedocument.presentationml.presentation"]
def initialize(*)
depends_on "power_point_pptx"
end
# Parse the document ... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/pdf.rb | lib/langchain/processors/pdf.rb | # frozen_string_literal: true
require "pdf-reader"
module Langchain
module Processors
class PDF < Base
EXTENSIONS = [".pdf"]
CONTENT_TYPES = ["application/pdf"]
def initialize(*)
depends_on "pdf-reader"
end
# Parse the document and return the text
# @param [File] da... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/xls.rb | lib/langchain/processors/xls.rb | # frozen_string_literal: true
module Langchain
module Processors
class Xls < Base
EXTENSIONS = [".xls"].freeze
CONTENT_TYPES = ["application/vnd.ms-excel"].freeze
def initialize(*)
depends_on "roo"
depends_on "roo-xls"
end
# Parse the document and return the text
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/eml.rb | lib/langchain/processors/eml.rb | # frozen_string_literal: true
module Langchain
module Processors
class Eml < Base
EXTENSIONS = [".eml"]
CONTENT_TYPES = ["message/rfc822"]
def initialize(*)
depends_on "mail"
end
# Parse the document and return the cleaned text
# @param [File] data
# @return [S... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/processors/html.rb | lib/langchain/processors/html.rb | # frozen_string_literal: true
module Langchain
module Processors
class HTML < Base
EXTENSIONS = [".html", ".htm"]
CONTENT_TYPES = ["text/html"]
# We only look for headings and paragraphs
TEXT_CONTENT_TAGS = %w[h1 h2 h3 h4 h5 h6 p]
def initialize(*)
depends_on "nokogiri"
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/output_parsers/output_fixing_parser.rb | lib/langchain/output_parsers/output_fixing_parser.rb | # frozen_string_literal: true
module Langchain::OutputParsers
# = Output Fixing Parser
#
class OutputFixingParser < Base
attr_reader :llm, :parser, :prompt
# Initializes a new instance of the class.
#
# @param llm [Langchain::LLM] The LLM used in the fixing process
# @param parser [Langchain... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/output_parsers/output_parser_exception.rb | lib/langchain/output_parsers/output_parser_exception.rb | class Langchain::OutputParsers::OutputParserException < StandardError
def initialize(message, text)
@message = message
@text = text
end
def to_s
"#{@message}\nText: #{@text}"
end
end
| ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/output_parsers/structured_output_parser.rb | lib/langchain/output_parsers/structured_output_parser.rb | # frozen_string_literal: true
require "json-schema"
module Langchain::OutputParsers
# = Structured Output Parser
class StructuredOutputParser < Base
attr_reader :schema
# Initializes a new instance of the class.
#
# @param schema [JSON::Schema] The json schema
def initialize(schema:)
@s... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/output_parsers/base.rb | lib/langchain/output_parsers/base.rb | # frozen_string_literal: true
module Langchain::OutputParsers
# Structured output parsers from the LLM.
#
# @abstract
class Base
# Parse the output of an LLM call.
#
# @param text - LLM output to parse.
#
# @return [Object] Parsed output.
def parse(text:)
raise NotImplementedError... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool/news_retriever.rb | lib/langchain/tool/news_retriever.rb | # frozen_string_literal: true
module Langchain::Tool
#
# A tool that retrieves latest news from various sources via https://newsapi.org/.
# An API key needs to be obtained from https://newsapi.org/ to use this tool.
#
# Usage:
# news_retriever = Langchain::Tool::NewsRetriever.new(api_key: ENV["NEWS_API_... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool/weather.rb | lib/langchain/tool/weather.rb | # frozen_string_literal: true
module Langchain::Tool
#
# A weather tool that gets current weather data
#
# Current weather data is free for 1000 calls per day (https://home.openweathermap.org/api_keys)
# Forecast and historical data require registration with credit card, so not supported yet.
#
# Usage:
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool/vectorsearch.rb | lib/langchain/tool/vectorsearch.rb | # frozen_string_literal: true
module Langchain::Tool
#
# A tool wraps vectorsearch classes
#
# Usage:
# # Initialize the LLM that will be used to generate embeddings
# ollama = Langchain::LLM::Ollama.new(url: ENV["OLLAMA_URL"]
# chroma = Langchain::Vectorsearch::Chroma.new(url: ENV["CHROMA_URL"]... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool/tavily.rb | lib/langchain/tool/tavily.rb | # frozen_string_literal: true
module Langchain::Tool
#
# Tavily Search is a robust search API tailored specifically for LLM Agents.
# It seamlessly integrates with diverse data sources to ensure a superior, relevant search experience.
#
# Usage:
# tavily = Langchain::Tool::Tavily.new(api_key: ENV["TAVIL... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool/ruby_code_interpreter.rb | lib/langchain/tool/ruby_code_interpreter.rb | # frozen_string_literal: true
module Langchain::Tool
#
# A tool that execute Ruby code in a sandboxed environment.
#
# Gem requirements:
# gem "safe_ruby", "~> 1.0.5"
#
# Usage:
# interpreter = Langchain::Tool::RubyCodeInterpreter.new
#
class RubyCodeInterpreter
extend Langchain::ToolDef... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool/wikipedia.rb | lib/langchain/tool/wikipedia.rb | # frozen_string_literal: true
module Langchain::Tool
#
# Tool that adds the capability to search using the Wikipedia API
#
# Gem requirements:
# gem "wikipedia-client", "~> 1.17.0"
#
# Usage:
# wikipedia = Langchain::Tool::Wikipedia.new
# wikipedia.execute(input: "The Roman Empire")
#
... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool/file_system.rb | lib/langchain/tool/file_system.rb | # frozen_string_literal: true
module Langchain::Tool
#
# A tool that wraps the Ruby file system classes.
#
# Usage:
# file_system = Langchain::Tool::FileSystem.new
#
class FileSystem
extend Langchain::ToolDefinition
define_function :list_directory, description: "File System Tool: Lists out th... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool/calculator.rb | lib/langchain/tool/calculator.rb | # frozen_string_literal: true
module Langchain::Tool
#
# A calculator tool
#
# Gem requirements:
# gem "eqn", "~> 1.6.5"
#
# Usage:
# calculator = Langchain::Tool::Calculator.new
#
class Calculator
extend Langchain::ToolDefinition
include Langchain::DependencyHelper
define_func... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool/google_search.rb | lib/langchain/tool/google_search.rb | # frozen_string_literal: true
module Langchain::Tool
#
# Wrapper around SerpApi's Google Search API
#
# Gem requirements:
# gem "google_search_results", "~> 2.0.0"
#
# Usage:
# search = Langchain::Tool::GoogleSearch.new(api_key: "YOUR_API_KEY")
# search.execute(input: "What is the capital... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
patterns-ai-core/langchainrb | https://github.com/patterns-ai-core/langchainrb/blob/fca40568a1d5632d9efc8cf8779343bbbe03dc99/lib/langchain/tool/database.rb | lib/langchain/tool/database.rb | # frozen_string_literal: true
module Langchain::Tool
#
# Connects to a SQL database, executes SQL queries, and outputs DB schema for Agents to use
#
# Gem requirements:
# gem "sequel", "~> 5.87.0"
#
# Usage:
# database = Langchain::Tool::Database.new(connection_string: "postgres://user:password... | ruby | MIT | fca40568a1d5632d9efc8cf8779343bbbe03dc99 | 2026-01-04T15:59:30.394142Z | false |
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