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"""
RAG (Retrieval Augmented Generation) implementation for project assistant.
"""
from pathlib import Path
from typing import List, Dict, Any
from datetime import datetime
import chromadb
from chromadb.config import Settings
from langchain_huggingface import HuggingFaceEmbeddings
from langchain_text_splitters import RecursiveCharacterTextSplitter
from src.parsers import MeetingNote, load_meetings_from_directory
class ProjectRAG:
"""RAG system for project meeting notes."""
def __init__(self, data_dir: Path, persist_dir: Path = None):
"""Initialize the RAG system."""
self.data_dir = data_dir
self.persist_dir = persist_dir or Path("./chroma_db")
# Initialize embeddings
self.embeddings = HuggingFaceEmbeddings(
model_name="sentence-transformers/all-MiniLM-L6-v2"
)
# Initialize ChromaDB
self.client = chromadb.PersistentClient(path=str(self.persist_dir))
self.collection = self.client.get_or_create_collection(
name="meeting_notes",
metadata={"hnsw:space": "cosine"}
)
# Text splitter for chunking
self.text_splitter = RecursiveCharacterTextSplitter(
chunk_size=500,
chunk_overlap=50,
separators=["\n\n", "\n", ". ", " ", ""]
)
self.meetings: List[MeetingNote] = []
def load_and_index(self):
"""Load all meetings and index them in the vector store."""
print("Loading meetings from directory...")
self.meetings = load_meetings_from_directory(self.data_dir)
print(f"Loaded {len(self.meetings)} meetings")
if not self.meetings:
print("No meetings found. Please add meeting notes to the data directory.")
return
# Clear existing collection
self.client.delete_collection("meeting_notes")
self.collection = self.client.create_collection(
name="meeting_notes",
metadata={"hnsw:space": "cosine"}
)
print("Indexing meetings...")
documents = []
metadatas = []
ids = []
for idx, meeting in enumerate(self.meetings):
# Create a rich document representation
doc_parts = [
f"Project: {meeting.project_name}",
f"Meeting: {meeting.title}",
f"Date: {meeting.date.strftime('%Y-%m-%d') if meeting.date else 'Unknown'}",
]
if meeting.participants:
doc_parts.append(f"Participants: {', '.join(meeting.participants)}")
if meeting.discussion:
doc_parts.append(f"Discussion:\n{meeting.discussion}")
if meeting.decisions:
doc_parts.append("Decisions:")
doc_parts.extend([f"- {d}" for d in meeting.decisions])
if meeting.action_items:
doc_parts.append("Action Items:")
for item in meeting.action_items:
status = "✓" if item.completed else "○"
assignee = f"{item.assignee}: " if item.assignee else ""
deadline = f" (by {item.deadline})" if item.deadline else ""
doc_parts.append(f"{status} {assignee}{item.task}{deadline}")
if meeting.blockers:
doc_parts.append("Blockers:")
doc_parts.extend([f"- {b}" for b in meeting.blockers])
full_doc = "\n".join(doc_parts)
# Chunk the document
chunks = self.text_splitter.split_text(full_doc)
for chunk_idx, chunk in enumerate(chunks):
documents.append(chunk)
metadatas.append({
"meeting_idx": idx,
"project": meeting.project_name,
"title": meeting.title,
"date": meeting.date.isoformat() if meeting.date else "",
"file_path": meeting.file_path,
"chunk_idx": chunk_idx
})
ids.append(f"meeting_{idx}_chunk_{chunk_idx}")
# Add to ChromaDB
if documents:
# Embed documents
embeddings_list = self.embeddings.embed_documents(documents)
self.collection.add(
embeddings=embeddings_list,
documents=documents,
metadatas=metadatas,
ids=ids
)
print(f"Indexed {len(documents)} chunks from {len(self.meetings)} meetings")
def search(self, query: str, n_results: int = 5, project_filter: str = None) -> List[Dict[str, Any]]:
"""Search for relevant meeting content."""
# Embed the query
query_embedding = self.embeddings.embed_query(query)
# Prepare where clause for filtering
where = None
if project_filter:
where = {"project": project_filter}
# Search in ChromaDB
results = self.collection.query(
query_embeddings=[query_embedding],
n_results=n_results,
where=where
)
# Format results
formatted_results = []
if results['documents'] and results['documents'][0]:
for i in range(len(results['documents'][0])):
formatted_results.append({
'content': results['documents'][0][i],
'metadata': results['metadatas'][0][i],
'distance': results['distances'][0][i] if 'distances' in results else None
})
return formatted_results
def get_all_projects(self) -> List[str]:
"""Get list of all project names."""
return list(set(m.project_name for m in self.meetings))
def get_open_action_items(self, project: str = None) -> List[Dict[str, Any]]:
"""Get all open action items, optionally filtered by project."""
action_items = []
for meeting in self.meetings:
if project and meeting.project_name != project:
continue
for item in meeting.action_items:
if not item.completed:
action_items.append({
'project': meeting.project_name,
'meeting': meeting.title,
'date': meeting.date,
'assignee': item.assignee,
'task': item.task,
'deadline': item.deadline
})
return action_items
def get_blockers(self, project: str = None) -> List[Dict[str, Any]]:
"""Get all blockers, optionally filtered by project."""
blockers = []
for meeting in self.meetings:
if project and meeting.project_name != project:
continue
for blocker in meeting.blockers:
blockers.append({
'project': meeting.project_name,
'meeting': meeting.title,
'date': meeting.date,
'blocker': blocker
})
return blockers
def get_recent_decisions(self, project: str = None, limit: int = 10) -> List[Dict[str, Any]]:
"""Get recent decisions, optionally filtered by project."""
decisions = []
for meeting in sorted(self.meetings, key=lambda m: m.date or datetime.min, reverse=True):
if project and meeting.project_name != project:
continue
for decision in meeting.decisions:
decisions.append({
'project': meeting.project_name,
'meeting': meeting.title,
'date': meeting.date,
'decision': decision
})
if len(decisions) >= limit:
return decisions
return decisions
def get_project_documents(self, project: str) -> List:
"""Get all meeting documents for a specific project."""
from langchain_core.documents import Document
documents = []
for meeting in sorted(self.meetings, key=lambda m: m.date or datetime.min):
if meeting.project_name != project:
continue
# Build full meeting content
doc_parts = [
f"# Meeting: {meeting.title}",
f"**Date:** {meeting.date.strftime('%Y-%m-%d') if meeting.date else 'Unknown'}",
]
if meeting.participants:
doc_parts.append(f"**Participants:** {', '.join(meeting.participants)}")
if meeting.discussion:
doc_parts.append(f"\n## Discussion\n{meeting.discussion}")
if meeting.decisions:
doc_parts.append("\n## Decisions")
doc_parts.extend([f"- {d}" for d in meeting.decisions])
if meeting.action_items:
doc_parts.append("\n## Action Items")
for item in meeting.action_items:
status = "[x]" if item.completed else "[ ]"
assignee = f"{item.assignee}: " if item.assignee else ""
deadline = f" (by {item.deadline})" if item.deadline else ""
doc_parts.append(f"- {status} {assignee}{item.task}{deadline}")
if meeting.blockers:
doc_parts.append("\n## Blockers")
doc_parts.extend([f"- {b}" for b in meeting.blockers])
full_content = "\n".join(doc_parts)
documents.append(Document(
page_content=full_content,
metadata={
"project": meeting.project_name,
"title": meeting.title,
"date": meeting.date.isoformat() if meeting.date else ""
}
))
return documents
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