Feedback: integrations-langchain-python

Documentation Feedback

Original URL: https://www.assemblyai.com/docs/integrations/langchain/python
Category: integrations
Generated: 05/08/2025, 4:28:28 pm

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Claude Sonnet 4 Feedback

Generated: 05/08/2025, 4:28:27 pm

Technical Documentation Analysis & Improvement Recommendations

Critical Issues Requiring Immediate Attention

1. Incomplete Code Examples

Problem: Multiple code snippets are broken or incomplete.

Issues Found:

from langchain.document_loaders  # Missing import

from langchain.document_loaders.assemblyai  # Missing specific import

# Missing import for aai module
config = aai.TranscriptionConfig(...)  # aai is undefined

Solution:

# Complete import examples
from langchain.document_loaders import AssemblyAIAudioTranscriptLoader
from langchain.document_loaders.assemblyai import TranscriptFormat
import assemblyai as aai

2. Missing Prerequisites and Setup Information

Add a Prerequisites section:

## Prerequisites

- Python 3.7 or higher
- AssemblyAI account (free tier available)
- LangChain 0.1.0 or higher
- assemblyai 0.17.0 or higher

### System Requirements
- Internet connection for API calls
- Supported audio formats: MP3, WAV, FLAC, MP4, etc.
- Maximum file size: 5GB per file

Structure and Organization Improvements

1. Add Table of Contents

## Table of Contents
- [Prerequisites](#prerequisites)
- [Installation](#installation)
- [Authentication](#authentication)
- [Basic Usage](#basic-usage)
- [Advanced Features](#advanced-features)
- [Transcript Formats](#transcript-formats)
- [Error Handling](#error-handling)
- [Troubleshooting](#troubleshooting)
- [Additional Resources](#additional-resources)

2. Reorganize Content Flow

Move authentication setup before code examples and create clearer section hierarchy.

Missing Critical Information

1. Error Handling Section

from langchain.document_loaders import AssemblyAIAudioTranscriptLoader
import assemblyai as aai

try:
    loader = AssemblyAIAudioTranscriptLoader(file_path="./your_file.mp3")
    docs = loader.load()
except aai.exceptions.TranscriptError as e:
    print(f"Transcription failed: {e}")
except FileNotFoundError:
    print("Audio file not found")
except Exception as e:
    print(f"An error occurred: {e}")

2. Supported File Formats

### Supported Audio Formats
- **Audio files:** MP3, WAV, FLAC, MP4, M4A, AAC, OGG, WMA
- **Video files:** MP4, MOV, AVI, FLV, MKV, WEBM
- **Sources:** Local files, URLs, cloud storage links
- **File size limit:** 5GB per file
- **Duration limit:** No limit for API calls

3. Performance and Limitations

### Performance Considerations
- **Processing time:** ~25% of audio duration
- **Rate limits:** 100 concurrent requests (paid plans)
- **Free tier:** 5 hours of transcription per month
- **API response time:** Usually 15-30 seconds for 1-hour audio

Enhanced Examples

1. Complete Working Example

import os
from langchain.document_loaders import AssemblyAIAudioTranscriptLoader
from langchain.document_loaders.assemblyai import TranscriptFormat
import assemblyai as aai

# Set up authentication
os.environ["ASSEMBLYAI_API_KEY"] = "your-api-key-here"

# Basic transcription
def basic_transcription_example():
    audio_file = "https://assembly.ai/sports_injuries.mp3"

    loader = AssemblyAIAudioTranscriptLoader(file_path=audio_file)
    docs = loader.load()

    # Access the transcribed text
    transcript_text = docs[0].page_content
    metadata = docs[0].metadata

    print(f"Transcript: {transcript_text[:100]}...")
    print(f"Language detected: {metadata.get('language_code')}")

    return docs

# Advanced configuration example
def advanced_transcription_example():
    config = aai.TranscriptionConfig(
        speaker_labels=True,
        auto_chapters=True,
        entity_detection=True,
        sentiment_analysis=True,
        auto_highlights=True
    )

    loader = AssemblyAIAudioTranscriptLoader(
        file_path="./meeting_recording.mp3",
        config=config,
        transcript_format=TranscriptFormat.PARAGRAPHS
    )

    docs = loader.load()

    # Process each paragraph
    for i, doc in enumerate(docs):
        print(f"Paragraph {i+1}: {doc.page_content}")

    return docs

if __name__ == "__main__":
    basic_docs = basic_transcription_example()
    advanced_docs = advanced_transcription_example()

2. Real-world Use Case Example

# RAG Pipeline with Audio Data
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.embeddings import OpenAIEmbeddings
from langchain.vectorstores import Chroma
from langchain.chains import RetrievalQA
from langchain.llms import OpenAI

def create_audio_rag_pipeline(audio_files):
    # Step 1: Transcribe audio files
    all_docs = []
    for audio_file in audio_files:
        loader = AssemblyAIAudioTranscriptLoader(
            file_path=audio_file,
            transcript_format=TranscriptFormat.PARAGRAPHS
        )
        docs = loader.load()
        all_docs.extend(docs)

    # Step 2: Split and embed
    text_splitter = RecursiveCharacterTextSplitter(
        chunk_size=1000,
        chunk_overlap=200
    )
    splits = text_splitter.split_documents(all_docs)

    # Step 3: Create vector store
    vectorstore = Chroma.from_documents(
        documents=splits,
        embedding=OpenAIEmbeddings()
    )

    # Step 4: Create QA chain
    qa_chain = RetrievalQA.from_chain_type(
        llm=OpenAI(),
        chain_type="stuff",
        retriever=vectorstore.as_retriever()
    )

    return qa_chain

# Usage
audio_files = ["meeting1.mp3", "meeting2.mp3", "interview.wav"]
qa_system = create_audio_rag_pipeline(audio_files)
response = qa_system.run("What were the main decisions made in the meetings?")

User Experience Improvements

1. Add Troubleshooting Section

## Troubleshooting

### Common Issues

**"API key not found" error:**
```bash
# Verify your API key is set
echo $ASSEMBLYAI_API_KEY  # Mac/Linux
echo %ASSEMBLYAI_API_KEY%  # Windows

“File not found” error:

• Verify file path is correct
• Ensure file exists and is readable
• For URLs, check if the link is accessible

Slow transcription:

• Large files take longer to process
• Check your internet connection
• Consider splitting large files into smaller chunks

Import errors:

# Reinstall packages if imports fail
pip uninstall langchain assemblyai
pip install langchain assemblyai

### 2. **Add Configuration Reference**
```markdown
## Configuration Reference

### TranscriptionConfig Options

| Parameter | Type | Description | Default |
|-----------|------|-------------|---------|
| `speaker_labels` | bool | Enable speaker identification | False |
| `auto_chapters` | bool | Automatically detect chapters | False |
| `entity_detection` | bool | Detect entities (names, places, etc.)

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