Projects use Retrieval Augmented Generation Rag
Retrieval-Augmented Generation grounds LLM answers in external knowledge by retrieving relevant chunks and injecting them into the prompt. Projects cover ingestion, chunking, embeddings, vector stores, retrieval strategies, generation and evaluation (faithfulness, relevance).
Tools used widely: LangChain, LlamaIndex, FAISS, Chroma, Pinecone, Hugging Face, OpenAI/local LLMs, Haystack, RAGAS and Streamlit/Gradio demos.
Tools & Frameworks Used
Best RAG Project Topics 2026
48 topics across major RAG application domains with tools used.
| # | RAG Project Topic | Tools / Stack |
|---|---|---|
| Document Q&A · PDF · Knowledge Base | ||
| 01 | DocumentPDF Document Q&A Chatbot with Chunking, Embeddings and FAISS Retrieval | LangChain · FAISS · OpenAI/HF · Streamlit |
| 02 | DocumentMulti-Document RAG over Research Papers with Citation Tracking | LlamaIndex · FAISS · Hugging Face |
| 03 | DocumentHierarchical / Parent-Document Retriever for Long Reports and Manuals | LangChain · Chroma · Python |
| 04 | DocumentHybrid Search RAG: Keyword (BM25) + Dense Vector Retrieval | LangChain · FAISS · rank_bm25 |
| 05 | DocumentConversational RAG with Chat History and Query Rewriting | LangChain · memory · FAISS |
| 06 | DocumentTable-Aware RAG: Extracting and Answering from Document Tables | Unstructured · LangChain · FAISS |
| Enterprise Knowledge · Internal Docs · Support | ||
| 07 | EnterpriseEnterprise Knowledge Base Assistant over Confluence / Wiki Exports | LlamaIndex · Chroma · FastAPI |
| 08 | EnterpriseCustomer Support Ticket RAG with Product Manuals and FAQ Index | LangChain · FAISS · Streamlit |
| 09 | EnterpriseRole-Based Access RAG: Filtering Retrieved Chunks by User Permissions | LangChain · metadata filters · Chroma |
| 10 | EnterpriseIncremental Index Updates for Continuously Growing Document Stores | LlamaIndex · FAISS · Python |
| 11 | EnterpriseMulti-Tenant RAG Architecture for SaaS Knowledge Isolation | LangChain · Chroma · FastAPI |
| 12 | EnterpriseSlack / Teams Bot Integration for Enterprise RAG Q&A | LangChain · bot SDK · FAISS |
| Healthcare · Medical Literature · Clinical | ||
| 13 | HealthcareMedical Literature RAG over PubMed Abstracts for Clinical Questions | LangChain · FAISS · BioBERT embeddings |
| 14 | HealthcareClinical Guideline Q&A Assistant with Source Attribution | LlamaIndex · Chroma · Hugging Face |
| 15 | HealthcareDrug Interaction and Dosage Lookup RAG from Structured + Unstructured Sources | LangChain · FAISS · Python |
| 16 | HealthcarePatient Education Chatbot Grounded in Trusted Health Documents | LangChain · Streamlit · FAISS |
| 17 | HealthcareRadiology Report Summarisation and Q&A with Retrieval Grounding | Transformers · LangChain · FAISS |
| 18 | HealthcarePrivacy-Aware Medical RAG with On-Premise / Local LLM Deployment | Ollama · LangChain · Chroma |
| Legal · Contracts · Compliance | ||
| 19 | LegalLegal Contract Q&A and Clause Retrieval with Citation of Sections | LangChain · FAISS · Streamlit |
| 20 | LegalCase Law Search and Summarisation RAG for Judgment Databases | LlamaIndex · embeddings · FAISS |
| 21 | LegalCompliance Policy Checker: Query Policies and Get Grounded Answers | LangChain · Chroma · Python |
| 22 | LegalMulti-Contract Comparison RAG for Difference and Risk Highlighting | LangChain · FAISS · LLM |
| 23 | LegalStatute / Regulation Q&A with Hierarchical Chunking of Legal Texts | LlamaIndex · FAISS · Hugging Face |
| 24 | LegalExplainable Legal RAG: Showing Retrieved Passages Alongside Answers | LangChain · Streamlit · citations |
| Code · Technical Docs · Developer Assistants | ||
| 25 | CodeCode Repository RAG: Ask Questions over GitHub Project Docs and Source | LangChain · FAISS · tree-sitter concepts |
| 26 | CodeAPI Documentation Assistant with Endpoint and Parameter Retrieval | LlamaIndex · Chroma · FastAPI |
| 27 | CodeStack Overflow / Internal Wiki Hybrid RAG for Engineering Teams | LangChain · hybrid search · FAISS |
| 28 | CodeError Message / Log Explanation Bot Grounded in Internal Runbooks | LangChain · FAISS · Streamlit |
| 29 | CodeMulti-Language Codebase RAG with Language-Aware Chunking | LangChain · embeddings · FAISS |
| 30 | CodeIDE-Style Code Completion Context via Retrieval of Similar Functions | FAISS · embeddings · Python |
| Multimodal RAG · Images · Tables · Audio | ||
| 31 | MultimodalMultimodal RAG: Text + Image Caption Retrieval for Product Catalogs | CLIP · LangChain · FAISS |
| 32 | MultimodalPDF with Figures: OCR + Vision Captioning into Unified Vector Index | Unstructured · CLIP · LangChain |
| 33 | MultimodalTable-to-Text and Chart Description RAG for Financial Reports | LlamaIndex · FAISS · Python |
| 34 | MultimodalAudio Meeting Transcript RAG with Speaker-Aware Chunking | Whisper · LangChain · FAISS |
| 35 | MultimodalSlide Deck Q&A: Combining Slide Text and Image Understanding | CLIP · LangChain · Streamlit |
| Agentic RAG · Multi-Hop · Tools | ||
| 36 | AgenticMulti-Hop RAG: Iterative Retrieval for Complex Multi-Step Questions | LangChain Agents · FAISS · Python |
| 37 | AgenticAgentic RAG with Tool Use: Calculator, Search and Document Tools | LangChain Tools · LlamaIndex · LLM |
| 38 | AgenticSelf-Reflective RAG: Critique and Re-Retrieve on Low-Confidence Answers | LangChain · custom loops · FAISS |
| 39 | AgenticQuery Routing: Domain Classifier before Specialized Retrievers | LangChain · multiple indexes · Python |
| 40 | AgenticGraph RAG: Knowledge Graph + Vector Retrieval Hybrid Pipeline | Neo4j / NetworkX · LangChain · FAISS |
| 41 | AgenticAdaptive Retrieval: Dynamic Top-K and Re-Ranking based on Query Type | LangChain · cross-encoder · FAISS |
| Evaluation · Optimisation · Production | ||
| 42 | EvaluationRAG Evaluation Pipeline with Faithfulness, Relevance and Context Precision (RAGAS) | RAGAS · LangChain · Python |
| 43 | EvaluationChunk Size and Overlap Ablation Study Impact on Retrieval Quality | LlamaIndex · FAISS · metrics |
| 44 | EvaluationEmbedding Model Comparison for Domain-Specific RAG Performance | Hugging Face · FAISS · evaluation |
| 45 | EvaluationRe-Ranker Integration (Cross-Encoder) vs Vanilla Vector Search Benchmark | sentence-transformers · LangChain |
| 46 | EvaluationHallucination Detection and Citation Verification in RAG Outputs | RAGAS · TruLens · Python |
| 47 | EvaluationLatency vs Accuracy Trade-offs: Caching, Approximate Search and Batching | FAISS · LangChain · profiling |
| 48 | EvaluationCapstone: Production-Style RAG App with Ingest API, Chat UI and Eval Dashboard | LangChain · Chroma · FastAPI · Streamlit · RAGAS · report |
All topics include ingestion pipeline, retrieval, generation and basic evaluation. Contact us for base paper reference, full Python source code, university-format report, PPT and viva Q&A.
Why Choose Us for RAG Projects?
Document & Enterprise Q&A
PDF/multi-doc chatbots, hybrid search, conversational memory and role-based retrieval with LangChain and LlamaIndex.
Healthcare & Legal
Literature and guideline RAG, contract clause retrieval and citation-aware answers for high-stakes domains.
Code & Multimodal
Repository assistants, API docs RAG, CLIP-based image-text retrieval and transcript-grounded Q&A.
Agentic & Evaluation
Multi-hop agents, Graph RAG, RAGAS metrics, re-rankers and production-ready ingest + chat pipelines.
FAQ — Retrieval-Augmented Generation Projects
RAG Project Lab — Bangalore
Development stations and consultation for LangChain, LlamaIndex and vector-store RAG projects.
Pipelines
Vector Store
Chat Demo
Domain RAG
RAG
Dashboard
Ollama Deploy
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