Ancient Astrology. Modern Infrastructure.
We vectorized millions of lines from Brihat Parashara Hora Shastra, Jaimini Sutras, Saravali, Phaladeepika, and the foundational works of Vedic astrology — making them instantly searchable through a modern API.
From classical Jyotisha canon
BPHS, Jaimini, Saravali & more
AI semantic retrieval
Unlimited searches
For centuries, the wisdom of Jyotisha was locked inside ancient manuscripts, rare books, scattered translations, and inaccessible archives.
We changed that.
Now anyone can access one of humanity's oldest knowledge systems instantly—not for thousands of dollars, not hidden behind institutions, but for just $1/month.
The foundation of Vedic horoscopy by sage Parashara
Alternative system with unique techniques
Comprehensive text on planetary effects and combinations
Classical work on predictive astrology
Varahamihira's treatise on nativity — now vectorized & searchable
Encyclopedia of Vedic knowledge and omens
Semantic understanding, not just keyword matching
"Effects of Saturn in 7th house" or "Jupiter Mahadasha results" — no complex query syntax needed.
Vector embeddings understand meaning — finding relevant passages even if exact words differ.
Receive passages with book name, page numbers, and relevance scores — cited and verifiable.
Experience the power of semantic search with our live AI Textbook Researcher. Ask any astrology question and see instant results from classical texts.
Who benefits from searchable classical texts
Build RAG pipelines, AI assistants, and chatbots powered by authentic classical sources. Perfect for LangChain, LlamaIndex, or custom ML stacks.
Quickly find specific sutras, cross-reference texts, and cite sources. No more manually searching through 500-page books.
Verify interpretations, find supporting evidence, and provide clients with classical references. Ground your readings in the original texts.
Simple REST API with semantic search. No complex setup — just HTTP requests. Compatible with OpenAI, Claude, Gemini, and any LLM.
One REST endpoint. Semantic search across the entire corpus.
{
"passages": [
{
"text": "Saturn in the 7th house makes the native's partner serious, responsible...",
"book": "Hindu Predictive Astrology",
"page": "312",
"chapter": "Effects of Planets in Houses",
"score": 0.94
},
{
"text": "When Saturn occupies the 7th bhava, marriage may be delayed...",
"book": "Brihat Parashara Hora Shastra",
"page": "156",
"chapter": "Graha Bhavas",
"score": 0.91
}
],
"totalResults": 5,
"query": "effects of Saturn in the 7th house"
}
text-embedding-3-small (1536 dimensions)
Azure Cosmos DB with vector indexing
< 800ms average for semantic search
https://api.vedastro.org/api/Calculate/SearchSourceText
x-api-key header (optional for free tier)
Millions of lines, growing monthly
Ancient knowledge should not be expensive
Try before you commit
For serious work
This is more than an API. It's the preservation, modernization, and democratization of ancient knowledge for the AI age. Join us in making the wisdom of Jyotisha accessible to everyone.
Not because ancient wisdom should be expensive — but because it should survive, evolve, and remain accessible for future generations.