rag_api and chromadb-rag-system-python

rag_api
64
Established
chromadb-rag-system-python
21
Experimental
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 0/25
Maturity 11/25
Community 0/25
Stars: 772
Forks: 344
Downloads: —
Commits (30d): 4
Language: Python
License: MIT
Stars: —
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About rag_api

danny-avila/rag_api

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

This project helps developers integrate custom document collections into their AI applications, particularly for chat interfaces like LibreChat. It takes diverse documents, processes them into a searchable format based on unique file IDs, and allows the AI application to retrieve specific document sections to answer user queries. The end user is a developer building AI-powered applications that need to reference a large body of internal or domain-specific documents.

AI-application-development retrieval-augmented-generation document-indexing backend-development AI-chatbot-integration

About chromadb-rag-system-python

Jogesh6895/chromadb-rag-system-python

⚡ Complete RAG pipeline implementation with ChromaDB vector database. Features: Persistent storage, Redis caching layer, SentenceTransformer embeddings, recursive document chunking, and interactive CLI. Production-grade Python code with type hints and structured logging.

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