Semantic Search Projects | Embeddings · Vector DB · RAG · Similarity

Semantic Search Projects for Final Year Students (2026)

Semantic search retrieves documents by meaning rather than exact keywords. Student projects encode text with sentence transformers, index vectors in FAISS or Chroma, and evaluate ranking with IR metrics. RAG systems combine retrieval with generation for grounded answers.

This page lists 90+ high-impact topics. Tools include sentence-transformers, FAISS, Chroma, BM25, Elasticsearch, Hugging Face models and evaluation with nDCG/MRR. Ideal for BE, BTech, MTech CS and AI students in Bangalore and across India.

Core Frameworks & Tools

Libraries and platforms commonly used in academic semantic search projects.

sentence-transformers FAISS Chroma / Qdrant BM25 Hugging Face LangChain concepts

Best Semantic Search Topics & Tools (90+)

Grouped by theme. Each topic lists primary tools and methods.

#	Project Topic	Tools · Methods
🧬 Sentence Embeddings · Encoding
1	EmbSentence-BERT Similarity Search Demo	sentence-transformers
2	EmbCompare MiniLM vs MPNet Embeddings	all-MiniLM / MPNet
3	EmbDocument Chunking Strategies for Embeddings	Sliding window, paragraphs
4	EmbQuery vs Document Asymmetric Encoding	Bi-encoder design
5	EmbMultilingual Semantic Search (one pair)	multilingual MiniLM
6	EmbDomain Fine-Tuning of Embeddings Lite	Contrastive pairs
7	EmbEmbedding Dimensionality Reduction (PCA/UMAP)	sklearn, umap
8	EmbCosine vs Dot-Product Similarity Study	Normalize + score
9	EmbBatch Encoding Pipeline for Large Corpora	Batch size, GPU/CPU
10	EmbInstruction-Tuned Embeddings Overview	E5 / GTE concepts
🗄️ Vector Indexes · Databases
11	VecFAISS Flat Index Build and Query	faiss.IndexFlatIP
12	VecFAISS IVF / HNSW Approximate Search	IVF, HNSW params
13	VecChroma Persistent Vector Store Demo	ChromaDB
14	VecQdrant / Weaviate Client Integration Lite	Client API concepts
15	VecMetadata Filtering with Vector Search	Where filters
16	VecIndex Update: Add / Delete Documents	Incremental index
17	VecMemory vs Disk Index Trade-offs	Persistence study
18	VecANN Recall vs Latency Benchmark	nprobe / efSearch
19	VecProduct Quantization Compression Demo	FAISS PQ
20	VecMulti-Index Routing by Domain	Router logic
🔀 Hybrid Search · Sparse + Dense
21	HybBM25 Baseline Keyword Search	rank_bm25
22	HybDense-Only vs BM25 Comparison	Side-by-side ranking
23	HybHybrid Fusion: Reciprocal Rank Fusion	RRF formula
24	HybWeighted Score Combination (alpha)	Normalize + blend
25	HybElasticsearch BM25 + kNN Hybrid	ES hybrid query
26	HybSparse Lexical + Dense Semantic Ensemble	Two-stage retrieve
27	HybQuery Expansion with Synonyms / Embeddings	Pseudo-relevance
28	HybColBERT-Style Late Interaction Overview	Literature + toy
💬 RAG · Retrieval-Augmented Generation
29	RAGBasic RAG: Retrieve Top-k → Prompt LLM	Embeddings + LLM API
30	RAGCitation / Source Attribution in Answers	Chunk IDs in prompt
31	RAGChunk Size Impact on RAG Quality	Ablation study
32	RAGReranking Retrieved Passages	Cross-encoder rerank
33	RAGConversational RAG with History	Query rewrite
34	RAGMulti-Hop RAG Lite	Iterative retrieve
35	RAGGroundedness / Faithfulness Checks	NLI / heuristic
36	RAGLangChain / LlamaIndex Style Pipeline	Framework concepts
37	RAGOffline RAG with Local LLM Option	Ollama / local model
38	RAGEvaluate RAG with QA Pairs	Exact match / F1
📈 Evaluation · Metrics · Benchmarks
39	EvalnDCG@k and MRR Implementation	Custom / ir_measures
40	EvalPrecision@k / Recall@k for Retrieval	Binary relevance
41	EvalBuild a Mini IR Test Collection	Queries + qrels
42	EvalCompare Systems on Same Query Set	Side-by-side metrics
43	EvalError Analysis: Missed Relevant Docs	Failure cases
44	EvalLatency and Throughput Benchmarks	Timing scripts
45	EvalA/B Style User Preference Study Lite	Preference labels
46	EvalBEIR / Public IR Benchmark Overview	Literature + subset
🏢 Applications · Domain Search
47	AppSemantic FAQ / Knowledge Base Search	FAQ corpus
48	AppProduct Catalog Semantic Search	Titles + descriptions
49	AppLegal / Policy Document Search	Long-doc chunking
50	AppResearch Paper Abstract Search	ArXiv-style abstracts
51	AppCode Search with Code Embeddings	CodeBERT concepts
52	AppResume / Job Matching Semantic Score	Pair similarity
53	AppCustomer Support Ticket Similar Cases	Historical tickets
54	AppNews Article Semantic Related Stories	Clustering + search
55	AppMedical Guideline Section Retrieval	Guideline corpus
56	AppEducational Content / Course Material Search	Lecture notes
📚 Classical IR · Foundations
57	IRInverted Index from Scratch	Python dict index
58	IRTF-IDF Ranking Implementation	sklearn / custom
59	IRBoolean vs Ranked Retrieval Comparison	Query modes
60	IRQuery Likelihood / LM Ranking Lite	Language model IR
61	IRStopwords, Stemming Impact on Search	NLTK preprocessing
62	IRPageRank-Style Authority for Web Docs	Graph ranking toy
🖥️ Search UI · Systems · APIs
63	UIStreamlit Semantic Search Demo App	Streamlit + FAISS
64	UIFastAPI Search Endpoint with Embeddings	FastAPI, batch encode
65	UIHighlight Matching Snippets in Results	Span highlight
66	UIAutocomplete / Query Suggestion Lite	Prefix + popular
67	UIResult Clustering for Diversity	k-means on embeddings
68	UISearch Analytics Dashboard (query logs)	Log parse + charts
🔬 Advanced · Research · Scale
69	AdvHard Negative Mining for Embedding Train	In-batch negatives
70	AdvCross-Encoder Reranker Training Lite	Pair classification
71	AdvMatryoshka / Truncatable Embeddings	Dim ablation
72	AdvLate Chunking / Contextual Embeddings	Literature concepts
73	AdvAgentic Retrieval: Tool-Calling Search	Plan → retrieve loop
74	AdvMultimodal: Text + Image Search	CLIP embeddings
75	AdvLong-Context Retrieval Strategies	Hierarchical index
76	AdvPrivacy: On-Device Embedding Search	Quantized local model
77	AdvFederated / Multi-Tenant Index Design	Namespace isolation
78	AdvIndex Freshness and Update Latency	Near-real-time
79	AdvCost–Quality Trade-off for API Embeddings	Batch vs online
80	AdvSynthetic Query Generation for Eval	LLM-generated queries
81	AdvDomain Adaptation: Legal / Medical Corpus	Fine-tune embedder
82	AdvZero-Shot Cross-Lingual Retrieval	mE5 / multilingual
83	AdvSparse + Dense Hybrid at Scale Notes	Architecture report
84	AdvObservability: Trace Query → Hits → Latency	Logging stack
85	AdvBenchmark Suite: 3 Corpora × 3 Retrievers	Unified eval script
86	AdvEducational Lab: BM25 → Dense → Hybrid → RAG	Curriculum path
87	AdvOpen-Source Search Stack Integration	ES + embeddings
88	AdvFailure Modes: Paraphrase / Negation Queries	Adversarial tests
89	AdvReproducibility: Seeds, Index Versions, Logs	Config + checksums
90	AdvEnd-to-End: Ingest → Embed → Index → Query → Evaluate → Report	Full pipeline
91	AdvThesis Package: Design, Metrics, Ablations, Discussion	Full documentation
92	AdvProduction Checklist: Latency, Cost, Freshness, Quality	Ops report

Topics reflect information retrieval and semantic search academic practice. Contact us for pipelines, evaluation metrics, university-format report, PPT and viva Q&A for any topic above.

Why Choose Us for Semantic Search Projects?

Bangalore-based guidance for BE, BTech and MTech students building embedding, vector and RAG systems.

Embeddings

Sentence-transformers pipelines, bi-encoders and domain fine-tuning concepts.

Vector Indexes

FAISS, Chroma and ANN trade-offs for recall and latency.

Hybrid Search

BM25 + dense fusion and reciprocal rank fusion designs.

RAG Pipelines

Retrieve–augment–generate with citations and groundedness checks.

Frequently Asked Questions — Semantic Search

Top topics include dense retrieval with sentence-transformers, FAISS/Chroma vector indexes, hybrid BM25+dense search, RAG question-answering, semantic similarity ranking, multilingual embeddings and evaluation with nDCG/MRR metrics.

sentence-transformers, FAISS, Chroma, Qdrant, Elasticsearch, BM25 (rank_bm25), Hugging Face models, LangChain/LlamaIndex concepts, and evaluation metrics from ir_measures or custom scripts.

Yes. Packages include embedding pipelines, index build scripts, query APIs, evaluation metrics, university-format report, PPT and viva Q&A.

Keyword search matches exact or stemmed terms. Semantic search encodes meaning via dense vectors so queries can match relevant documents even when wording differs (synonyms, paraphrases).

Semantic Search Lab — Bangalore

Embeddings, indexes, hybrid search and RAG setups for BE, BTech and MTech projects.

Sentence
Embeddings

MiniLM / MPNet

FAISS / Chroma
Indexes

ANN Search

Hybrid
BM25 + Dense

RRF Fusion

RAG
QA Pipeline

Retrieve + LLM

Evaluation
nDCG / MRR

IR Metrics

Domain
Applications

FAQ / Catalog

Search UI
Streamlit

Demo App

Viva & Report
Preparation

Documentation

Semantic Search Projects.