Codebase RAG fireworks (#12597)

templates/rag-codellama-fireworks/LICENSE

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+MIT License
+
+Copyright (c) 2023 LangChain, Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

templates/rag-codellama-fireworks/README.md

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+# RAG Codellama Fireworks
+
+TODO: Add context from below links
+
+https://blog.fireworks.ai/accelerating-code-completion-with-fireworks-fast-llm-inference-f4e8b5ec534a
+https://blog.fireworks.ai/simplifying-code-infilling-with-code-llama-and-fireworks-ai-92c9bb06e29c
+
+
+## Environment Setup
+
+TODO: Add API keys
+
+FIREWORKS_API_KEY
+https://python.langchain.com/docs/integrations/llms/fireworks
+https://app.fireworks.ai/login?callbackURL=https://app.fireworks.ai

templates/rag-codellama-fireworks/pyproject.toml

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+[tool.poetry]
+name = "rag-codellama-fireworks"
+version = "0.1.0"
+description = ""
+authors = ["Lance Martin <lance@langchain.dev>"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = ">=3.8.1,<4.0"
+langchain = ">=0.0.313, <0.1"
+gpt4all = ">=1.0.8"
+tiktoken = ">=0.5.1"
+chromadb = ">=0.4.14"
+fireworks-ai = ">=0.6.0"
+
+[tool.langserve]
+export_module = "rag_codellama_fireworks"
+export_attr = "chain"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

templates/rag-codellama-fireworks/rag_codellama_fireworks.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "681a5d1e",
+   "metadata": {},
+   "source": [
+    "## Run Template"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d774be2a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langserve.client import RemoteRunnable\n",
+    "\n",
+    "rag_app = RemoteRunnable(\"http://localhost:8000/rag-codellama-fireworks\")\n",
+    "rag_app.invoke(\"How can I initialize a ReAct agent?\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

templates/rag-codellama-fireworks/rag_codellama_fireworks/__init__.py

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+from rag_codellama_fireworks.chain import chain
+
+__all__ = ["chain"]

templates/rag-codellama-fireworks/rag_codellama_fireworks/chain.py

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+import os
+
+from git import Repo
+from langchain.document_loaders.generic import GenericLoader
+from langchain.document_loaders.parsers import LanguageParser
+from langchain.embeddings import GPT4AllEmbeddings
+from langchain.llms.fireworks import Fireworks
+from langchain.prompts import ChatPromptTemplate
+from langchain.pydantic_v1 import BaseModel
+from langchain.schema.output_parser import StrOutputParser
+from langchain.schema.runnable import RunnableParallel, RunnablePassthrough
+from langchain.text_splitter import Language, RecursiveCharacterTextSplitter
+from langchain.vectorstores import Chroma
+
+# Check API key
+if os.environ.get("FIREWORKS_API_KEY", None) is None:
+    raise Exception("Missing `FIREWORKS_API_KEY` environment variable.")
+
+# Load codebase
+# Set local path
+repo_path = "/Users/rlm/Desktop/tmp_repo"
+# Use LangChain as an example
+repo = Repo.clone_from("https://github.com/langchain-ai/langchain", to_path=repo_path)
+loader = GenericLoader.from_filesystem(
+    repo_path + "/libs/langchain/langchain",
+    glob="**/*",
+    suffixes=[".py"],
+    parser=LanguageParser(language=Language.PYTHON, parser_threshold=500),
+)
+documents = loader.load()
+
+# Split
+python_splitter = RecursiveCharacterTextSplitter.from_language(
+    language=Language.PYTHON, chunk_size=2000, chunk_overlap=200
+)
+texts = python_splitter.split_documents(documents)
+
+# Add to vectorDB
+vectorstore = Chroma.from_documents(
+    documents=texts,
+    collection_name="codebase-rag",
+    embedding=GPT4AllEmbeddings(),
+)
+retriever = vectorstore.as_retriever()
+
+# RAG prompt
+template = """Answer the question based only on the following context:
+{context}
+
+Question: {question}
+"""
+prompt = ChatPromptTemplate.from_template(template)
+
+# Initialize a Fireworks model
+model = Fireworks(model="accounts/fireworks/models/llama-v2-34b-code-instruct")
+
+# RAG chain
+chain = (
+    RunnableParallel({"context": retriever, "question": RunnablePassthrough()})
+    | prompt
+    | model
+    | StrOutputParser()
+)
+
+
+# Add typing for input
+class Question(BaseModel):
+    __root__: str
+
+
+chain = chain.with_types(input_type=Question)